Open lauravchrobak opened 3 months ago
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1.0599] train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/dd290861-d234-460c-a2e7-0c3a04177526.jpg: 1 duplicate labels removed train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/dd876b4b-f3c1-4599-9ded-c37e3e82d4ba.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0052] train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/ddd4ff32-94ab-45ac-b679-5a985ea96bd3.jpg: 1 duplicate labels removed train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/ddddf99f-113b-4b8e-ac31-87ce943e92c1.jpg: 2 duplicate labels removed train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/de4c993d-ae3c-4cab-83fc-58933a19b093.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0009] train: WARNING ⚠️ 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coordinates [ 1.1694 1.5844] train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/fb123bfa-3787-4e04-83ad-cbddd5c8a4a9.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0033] train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/fb65224f-af04-4988-9c43-ff5e419b2ee6.jpg: 1 duplicate labels removed train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/fcbfddcd-5f03-4d98-81fd-56530b335d0d.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0011] train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/fd594819-5df0-4ece-8000-afac7962f5eb.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0056] train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/fd78f0a6-c1e3-4598-ba64-184f6256bfec.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0133] train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/fe722404-6b0f-44f6-93c6-27eafb5bddfa.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0163] train: New cache created: /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/labels/train.cache albumentations: Blur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01), CLAHE(p=0.01, clip_limit=(1, 4.0), tile_grid_size=(8, 8)) /usr/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock. self.pid = os.fork() val: Scanning /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/labels/val... 11093 images, 0 backgrounds, 39 corrupt: 100%|██████████| 11093/11093 [02:52<00:00, 64.37it/s] val: WARNING ⚠️ 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corrupt image/label: non-normalized or out of bounds coordinates [ 1.0009] val: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/val/6ed82afd-60e2-485c-9023-1760632f13a5.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0111] val: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/val/7218737d-b613-4851-a5cd-a02b514d4416.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0011] val: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/val/72f3d027-3cce-4cf9-810e-08bf4f27e1df.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0074] val: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/val/7562f2b4-9cb8-4cca-aad2-91aeecacd112.jpg: 2 duplicate labels removed val: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/val/766a1186-7c7d-487f-a421-526999931adf.jpg: 1 duplicate labels removed val: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/val/7c18761b-c3e6-4a31-9754-5dcb0f3e18f4.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0005] val: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/val/7e21bf00-da27-479c-82b9-164b28d66f81.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0009] val: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/val/8179c529-8250-442f-b79f-ba1d9d1a620d.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0005] val: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/val/89c39a6a-cf16-4bf9-acb6-d8c846ee84a9.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0065] val: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/val/8b53ad8b-4aa6-4a4e-be55-aa5cb839e9e7.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.5518] val: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/val/8fca350a-3747-48bc-a528-d2e2c670335e.jpg: 1 duplicate labels removed val: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/val/9d0f5619-c270-4225-9392-65ed88b67002.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0046] val: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/val/9d73b18c-067f-4a3b-8b30-bc573a9a6883.jpg: 1 duplicate labels removed val: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/val/a7d172c0-ea5c-4918-9641-bcd52d402277.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0011] val: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/val/a8abea83-70d3-4720-8698-075f8d7cb7d6.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0011] val: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/val/b0a633df-6155-427b-a040-dd095b3c90b1.jpg: 1 duplicate labels removed val: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/val/b4d28c02-6b83-41c3-ab74-9bb2f271c293.jpg: 1 duplicate labels removed val: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/val/b70d4b6b-c05b-4b98-a4cf-d43abfbdac63.jpg: 1 duplicate labels removed val: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/val/b84060f0-4d6c-4e77-9273-803813b312af.jpg: 1 duplicate labels removed val: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/val/b8d116cc-44e4-40f0-bbec-983412bf91f6.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0019] val: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/val/bae4fdac-9a23-4dad-99d7-1c8433d00825.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0011] val: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/val/bdd08e53-5ab9-4e1a-8403-ee34196582b0.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0113] val: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/val/c4d8938d-7fc3-469e-8cd5-8f35b0bffac4.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.02] val: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/val/c8149e45-9029-478f-918d-09d7ec669d2b.jpg: 1 duplicate labels removed val: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/val/c9badcfb-faf5-4a1a-b45b-22c414106e69.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0033] val: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/val/c9f9208b-74ca-43d6-a71a-7a8620a349d5.jpg: 1 duplicate labels removed val: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/val/d6b1c6f7-b22b-4a50-a773-d63b28fc249a.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0163] val: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/val/f72e83d5-d69c-4e3e-b3ad-c9dc615f0273.jpg: ignoring corrupt image/label: negative label values [ -0.0020833] val: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/val/f896e30b-14cb-4706-8755-20922105e959.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0009] val: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/val/fbb1614d-589a-4b40-ad17-4a4602fe4bb5.jpg: 1 duplicate labels removed
Just confirming the values are real and not due to some glitch in the Pascal VOC generation. I used the image name @lauravchrobak linked in her sample to look up the UUID:
SELECT uuid FROM images WHERE url LIKE '%/0998/04_37_57_09.png'
-- Returns B8D116CC-44E4-40F0-BBEC-983412BF91F6
Fetch the data via the API using http://fathomnet.org:8080/images/B8D116CC-44E4-40F0-BBEC-983412BF91F6 which returns:
{
"uuid": "b8d116cc-44e4-40f0-bbec-983412bf91f6",
"url": "https://fathomnet.org/static/m3/framegrabs/Doc%20Ricketts/images/0998/04_37_57_09.png",
"contributorsEmail": "brian@mbari.org",
"width": 1920,
"height": 1080,
"imagingType": "ROV",
"salinity": 34.5099983215332,
"temperatureCelsius": 3.2730000019073486,
"oxygenMlL": 0.621999979019165,
"pressureDbar": 1243.4000244140625,
"depthMeters": 1233.06005859375,
"latitude": 36.418129,
"longitude": -122.300433,
"sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
"timestamp": "2017-12-19T20:03:15Z",
"createdTimestamp": "2021-09-29T21:18:44.087Z",
"lastValidation": "2024-05-01T21:53:58.932364Z",
"valid": true,
"lastUpdatedTimestamp": "2024-05-01T21:53:58.950Z",
"tags": [
{
"uuid": "60f87a61-83a5-4b0f-893d-26f936d09a42",
"key": "source",
"value": "MBARI/VARS",
"mediaType": "text/plain"
}
],
"boundingBoxes": [
{
"uuid": "0cebf073-74ec-495f-b9bb-a9b4e0d03f28",
"userDefinedKey": "9e6bfd64-89be-40f2-9665-b3aa04c4aa1e",
"concept": "Keratoisis",
"height": 1082,
"observer": "expert-observer",
"width": 1821,
"x": 70,
"y": 0,
"rejected": false,
"verified": false,
"lastUpdatedTimestamp": "2021-09-29T21:18:45.739Z"
}
]
}
So we do have boxes that extend past the image boundaries. Most likely this is from the localization tool which may not have been enforcing the boundary edge when a user draws a box.
I can set up something to clip those boxes in the database to stay within the image bounds.
Just a note that the association with uuid 9e6bfd64-89be-40f2-9665-b3aa04c4aa1e
no longer exists in VARS. It may have been replaced or removed by the video lab.
@lauravchrobak We need to have a discussion on what the valid bounds are for a box. Different tools are using slightly different conventions. I'll swing by to chat. An example is below; the box has both y = 0 and height = 1080, which is actually 1081 pixels, when there are only 1080 pixels.
Image: width=1920, height=1080, contributors=brian@mbari.org
Original box: x=306, y=0, width=1309, height=1080, observers=lynne
Clipped box: x=306, y=0, width=1309, height=1079
My understanding is that yolo is zero-based, and Pascal VOC is one-based. So in the above example, 0-1079 is allowed in FathomNet, 1-1080 in Pascal VOC.
Some dataset metrics: essentially its a very small percentage of annotations that are out of bounds <1%, see below.
image_generator = page(images.find_all, 1000)
x = []
y = []
bb_width = []
bb_height = []
image_width = []
image_height = []
# First populate only the labels folder
for image in progressbar(image_generator):
if None not in (image.height, image.width):
for b in image.boundingBoxes:
if None not in (b.height, b.width, b.x, b.y):
x.append(b.x)
y.append(b.y)
bb_width.append(b.width)
bb_height.append(b.height)
image_width.append(image.width)
image_height.append(image.height)
else:
print(f"Skipping image uuid: {image.uuid} because label had null value:{b.x}, {b.y}, {b.height}, {b.width}")
continue
else:
print(f"Slipping image uuid: {image.uuid} because image metadata has null values:{image.height}, {image.width}")
continue
df_annotations = pd.DataFrame({'x':x, 'y':y, 'bb_width':bb_width, 'bb_height':bb_height, 'image_width':image_width, 'image_height':image_height})
def check_out_of_bounds(df):
if (df.x + df.bb_width > df.image_width) or (df.y + df.bb_height > df.image_height) or (df.x < 0) or (df.y < 0) or (df.y > df.image_height) or (df.x > df.image_width):
return True
else:
return False
df_annotations['out_of_bounds'] = df_annotations.apply(check_out_of_bounds, axis=1)
df_out_of_bounds = df_annotations[df_annotations['out_of_bounds'] == True]
df_in_bounds = df_annotations[df_annotations['out_of_bounds'] == False]
Out of bounds: 559 In bounds: 296228 Percentage out of bounds: 0.19 Percentage in bounds: 99.81
I wanted to get a sense for, if we clipped the annotations to be within the image frame, how different would they be from the current annotations. Getting an iou would take me a bit more time, and I can do that if we feel its worth while but just as a quick pulse check I logged the average difference in annotation width / height/ x/ y (in pixels) if we were to fix. I've included the code for reference below. The values I am seeing here are surprisingly large. I was hoping to see only a few pixel difference... Ill go back and double check the code but if this is correct we should visualize these images to understand what is up.
Average width_diff 23.64, std width_diff 74.86
Average height_diff 12.60, std height_diff 49.36
Average x_diff 3.33, std x_diff 2.91
Average y_diff 4.76, std y_diff 10.61
# amends bbox to be within image boundaries
diff_rows = []
for index, row in df_out_of_bounds.iterrows():
if (row.x + row.bb_width > row.image_width):
width_diff = row.bb_width - (row.image_width - row.x)
else:
width_diff = np.NaN
if (row.y + row.bb_height > row.image_height):
height_diff = row.bb_height - (row.image_height - row.y)
else:
height_diff = np.NaN
if (row.x < 0):
x_diff = 0 - row.x
else:
x_diff = np.NaN
if (row.y < 0):
y_diff = 0 - row.y
else:
y_diff = np.NaN
# Append the fixed row as a dictionary to the list
diff_rows.append({'x_diff':x_diff, 'y_diff':y_diff, 'width_diff':width_diff, 'height_diff':height_diff})
df_diff = pd.DataFrame(diff_rows)
I have included the uuids of 25 of the annotations that have a difference exceeding 10 pixels ( of which there are 72) and one can view the actual images in the fathomnet web ui
level_0 | index | x | y | bb_width | bb_height | image_width | image_height | uuid | out_of_bounds | x_diff | y_diff | width_diff | height_diff |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 1664 | 173 | 368 | 42 | 41 | 715 | 368 | 3bea4e3b-e941-4772-9165-e11bb60419d5 | true | NaN | NaN | NaN | -41.0 |
8 | 4014 | 1696 | 62 | 239 | 92 | 1920 | 1080 | 249d02be-1257-4bb1-8212-5f61d58a79ab | true | NaN | NaN | -15.0 | NaN |
21 | 9644 | 70 | 411 | 17 | 15 | 716 | 370 | c4f979bf-0aeb-4d2e-812d-5ce1bbe3060b | true | NaN | NaN | NaN | -56.0 |
22 | 9737 | 33 | 0 | 1884 | 1094 | 1920 | 1080 | 812cd4c4-f19f-4186-ba39-e993dae2b06f | true | NaN | NaN | NaN | -14.0 |
31 | 13451 | 0 | 0 | 1910 | 1091 | 1920 | 1080 | b01bd139-f9b5-48d5-9b72-3db82cd0d3d9 | true | NaN | NaN | NaN | -11.0 |
41 | 18571 | 527 | 284 | 192 | 141 | 720 | 366 | 40039810-a69b-4edf-93d9-b4eae2c622fd | true | NaN | NaN | NaN | -59.0 |
52 | 25373 | 274 | 576 | 539 | 516 | 1920 | 1080 | f6817e52-7bd5-4d3e-bfce-24796475f4bb | true | NaN | NaN | NaN | -12.0 |
57 | 27779 | 366 | 61 | 54 | 331 | 720 | 368 | c4fb6fa5-ab63-4247-9f94-fce30a57c5e1 | true | NaN | NaN | NaN | -24.0 |
71 | 32586 | 228 | 379 | 46 | 42 | 720 | 367 | 5942c973-6506-4b7b-a630-2b5835166127 | true | NaN | NaN | NaN | -54.0 |
72 | 32920 | 119 | 229 | 104 | 151 | 720 | 366 | 9a30a173-8b3b-4d71-8748-5c85b0eafb95 | true | NaN | NaN | NaN | -14.0 |
128 | 60832 | 373 | 360 | 9 | 22 | 715 | 370 | 732ada95-18df-4427-9454-9f7885d7fbbf | true | NaN | NaN | NaN | -12.0 |
129 | 60868 | 319 | 360 | 53 | 58 | 720 | 367 | db909672-fbb7-47d6-8c1e-56c6d7b58eb2 | true | NaN | NaN | NaN | -51.0 |
143 | 66452 | 710 | 421 | 188 | 163 | 714 | 368 | 797aca2d-1dce-4b05-b98e-b92c330980e6 | true | NaN | NaN | -184.0 | -216.0 |
177 | 83463 | 18 | 0 | 1898 | 1097 | 1920 | 1080 | 3c7ea808-2a38-4764-81c8-3fd1a1fe37cc | true | NaN | NaN | NaN | -17.0 |
189 | 88811 | 1261 | 367 | 685 | 562 | 1920 | 1080 | c65cb4a4-fb64-43b6-a86e-26974d510537 | true | NaN | NaN | -26.0 | NaN |
196 | 93210 | 569 | 370 | 68 | 33 | 715 | 370 | 95065656-53c4-4474-b7ec-a8104b0f62b2 | true | NaN | NaN | NaN | -33.0 |
197 | 93221 | 100 | 373 | 15 | 13 | 715 | 370 | 95065656-53c4-4474-b7ec-a8104b0f62b2 | true | NaN | NaN | NaN | -16.0 |
208 | 99949 | 456 | 292 | 785 | 372 | 720 | 366 | 8a1cbed1-8792-40e6-b164-070ab0f5e5ff | true | NaN | NaN | -521.0 | -298.0 |
221 | 106221 | 250 | 0 | 1336 | 1097 | 1920 | 1080 | 879db1f8-58c1-423d-9af6-842a8f347a4d | true | NaN | NaN | NaN | -17.0 |
222 | 106532 | 0 | 0 | 815 | 1105 | 1920 | 1080 | 76523c8e-4a04-4ff6-9590-e5060db4bb69 | true | NaN | NaN | NaN | -25.0 |
273 | 128548 | 299 | 368 | 28 | 20 | 640 | 366 | 8aca5a34-df4e-4409-a068-f1d0ababa3d7 | true | NaN | NaN | NaN | -22.0 |
282 | 135592 | 0 | 0 | 1875 | 1097 | 1920 | 1080 | b42b1fc6-6ba3-42a8-bb44-7212cd7b0752 | true | NaN | NaN | NaN | -17.0 |
284 | 136087 | 162 | 309 | 46 | 101 | 720 | 368 | c749c430-80f5-4442-9a95-6057d4a88219 | true | NaN | NaN | NaN | -42.0 |
292 | 138948 | 145 | 0 | 1478 | 1092 | 1920 | 1080 | cf6da33c-19b7-4eeb-b38c-a2b776721133 | true | NaN | NaN | NaN | -12.0 |
297 | 140137 | 14 | 0 | 860 | 1097 | 1920 | 1080 | 39ec531c-7d9c-4604-bb5b-acaf77be2e71 | true | NaN | NaN | NaN | -17.0 |
299 | 141564 | 257 | 354 | 78 | 65 | 720 | 366 | 7fca7504-500a-4b55-93e4-e5c12fb1fd7a | true | NaN | NaN | NaN | -53.0 |
323 | 159643 | 698 | 593 | 288 | 354 | 720 | 486 | fb0cacfa-3236-46d8-85cc-22d5b6f6b89e | true | NaN | NaN | -266.0 | -461.0 |
326 | 167533 | 303 | 293 | 174 | 93 | 720 | 368 | e4b57499-62e1-4a38-9bdf-fc875d82a181 | true | NaN | NaN | NaN | -18.0 |
327 | 167535 | 169 | 298 | 107 | 83 | 714 | 370 | 7168f7e1-c2bf-4349-a656-8c9e5353a7b7 | true | NaN | NaN | NaN | -11.0 |
328 | 167548 | 188 | 183 | 130 | 198 | 713 | 370 | 7b2cc6f8-c39e-4b56-85dd-26de5e7e7cb4 | true | NaN | NaN | NaN | -11.0 |
329 | 167616 | 223 | 105 | 350 | 320 | 720 | 368 | b12e4e4e-c4a7-4563-a64b-77767cd6b108 | true | NaN | NaN | NaN | -57.0 |
330 | 167655 | 372 | 253 | 76 | 130 | 720 | 366 | c9e0c353-ce7b-4198-aff7-72640f375eb5 | true | NaN | NaN | NaN | -17.0 |
331 | 167657 | 109 | 74 | 452 | 350 | 720 | 368 | b0bb580f-83ea-41b4-acb9-ff5d8f0bd54b | true | NaN | NaN | NaN | -56.0 |
332 | 167835 | 367 | 205 | 98 | 56 | 394 | 212 | bd27ce90-cfd6-47d5-91bb-e1bb35125d03 | true | NaN | NaN | -71.0 | -49.0 |
333 | 167836 | 171 | 152 | 215 | 167 | 394 | 212 | bd27ce90-cfd6-47d5-91bb-e1bb35125d03 | true | NaN | NaN | NaN | -107.0 |
334 | 167838 | 249 | 111 | 469 | 313 | 720 | 368 | e44a567f-4e90-4ab1-bd74-f186ca38d155 | true | NaN | NaN | NaN | -56.0 |
335 | 167846 | 374 | 306 | 44 | 91 | 714 | 368 | c93f7f0d-f22d-4161-a05a-137049d5286a | true | NaN | NaN | NaN | -29.0 |
336 | 167880 | 929 | 469 | 222 | 356 | 714 | 368 | 069c41f5-a888-4be4-a325-1d5a761139be | true | NaN | NaN | -437.0 | -457.0 |
337 | 168982 | 0 | 0 | 1613 | 916 | 1600 | 900 | b0e7924d-53c4-4560-a041-d810195da943 | true | NaN | NaN | -13.0 | -16.0 |
338 | 168994 | 269 | -18 | 1047 | 875 | 1600 | 900 | de418ed5-b214-4213-a3d7-ac0a8e9085e0 | true | NaN | 18.0 | NaN | NaN |
345 | 169326 | 0 | 0 | 1620 | 901 | 1600 | 900 | 72ecd9a1-ad6c-4831-b8a9-5e9942a892c2 | true | NaN | NaN | -20.0 | -1.0 |
351 | 169481 | 284 | -11 | 335 | 321 | 1600 | 900 | 1175281e-a2dc-490a-bdf4-8c94050a2958 | true | NaN | 11.0 | NaN | NaN |
358 | 169565 | 189 | -11 | 1372 | 667 | 1600 | 900 | 0d482a1c-ced2-4945-bd0c-81d62243588d | true | NaN | 11.0 | NaN | NaN |
368 | 169803 | 0 | 1 | 1632 | 898 | 1600 | 900 | c4d8938d-7fc3-469e-8cd5-8f35b0bffac4 | true | NaN | NaN | -32.0 | NaN |
385 | 170192 | 0 | -8 | 1628 | 790 | 1600 | 900 | 20d18380-6598-420f-9f27-fc07de854c79 | true | NaN | 8.0 | -28.0 | NaN |
387 | 170263 | 0 | 8 | 1626 | 891 | 1600 | 900 | fe722404-6b0f-44f6-93c6-27eafb5bddfa | true | NaN | NaN | -26.0 | NaN |
394 | 170493 | 726 | 0 | 467 | 912 | 1600 | 900 | 61387f11-5d2d-4871-8add-119279468f19 | true | NaN | NaN | NaN | -12.0 |
397 | 170574 | 777 | -11 | 648 | 910 | 1600 | 900 | 860d1006-94c3-4e0b-b3cf-66219adb2b98 | true | NaN | 11.0 | NaN | NaN |
399 | 170638 | 0 | 4 | 1645 | 468 | 1600 | 900 | 60aebd5a-a188-4f8b-948a-ff25eaa78175 | true | NaN | NaN | -45.0 | NaN |
400 | 170652 | 102 | -24 | 552 | 923 | 1600 | 900 | a0300c81-62df-4a09-9465-7ed2c1d53bdf | true | NaN | 24.0 | NaN | NaN |
406 | 170874 | 76 | -13 | 1070 | 912 | 1600 | 900 | fd78f0a6-c1e3-4598-ba64-184f6256bfec | true | NaN | 13.0 | NaN | NaN |
413 | 170988 | 0 | 3 | 1635 | 896 | 1600 | 900 | 0582004f-eb4b-4379-8f7c-a569e699c2e9 | true | NaN | NaN | -35.0 | NaN |
420 | 171253 | 223 | -12 | 971 | 813 | 1600 | 900 | 876fd0e3-5339-463c-b71b-007912ba1ba9 | true | NaN | 12.0 | NaN | NaN |
422 | 171275 | 0 | 3 | 1659 | 896 | 1600 | 900 | 56f8c8fb-f8dc-49e2-83bc-b4e061f14e20 | true | NaN | NaN | -59.0 | NaN |
437 | 171827 | 117 | -13 | 487 | 912 | 1600 | 900 | 8542c525-5998-4539-ab59-dade3e778fba | true | NaN | 13.0 | NaN | NaN |
438 | 171829 | 0 | -140 | 550 | 632 | 1600 | 900 | 2ce3a1f3-f598-40ac-af6e-08e83820c9f8 | true | NaN | 140.0 | NaN | NaN |
445 | 172093 | 43 | -12 | 1556 | 911 | 1600 | 900 | 8ce46099-494f-4eed-9a8b-b618dfe14364 | true | NaN | 12.0 | NaN | NaN |
448 | 172220 | 0 | 2 | 1614 | 897 | 1600 | 900 | f328a8e5-11bc-438e-88a1-98d12dbe22b9 | true | NaN | NaN | -14.0 | NaN |
455 | 172405 | 0 | -2 | 1661 | 901 | 1600 | 900 | 6af261ba-8082-4007-b17b-c74e75a26550 | true | NaN | 2.0 | -61.0 | NaN |
457 | 172503 | 0 | 86 | 1635 | 813 | 1600 | 900 | 82142d22-4f74-463b-9db8-74abfc9d41f8 | true | NaN | NaN | -35.0 | NaN |
465 | 172659 | 154 | -12 | 1445 | 911 | 1600 | 900 | bc17095c-5bf3-4029-9bd6-3509f3d6f810 | true | NaN | 12.0 | NaN | NaN |
469 | 172795 | 0 | 80 | 1671 | 819 | 1600 | 900 | d3a0962a-a4de-499d-b418-7c9c53a31bc6 | true | NaN | NaN | -71.0 | NaN |
480 | 172948 | 131 | -19 | 1395 | 918 | 1600 | 900 | 57d58501-a6da-4892-b2fb-8ac281f46f0b | true | NaN | 19.0 | NaN | NaN |
485 | 173018 | 270 | -11 | 1164 | 910 | 1600 | 900 | 15ebdb86-55b5-4714-bf4b-183b8077483a | true | NaN | 11.0 | NaN | NaN |
486 | 173021 | 0 | 69 | 1639 | 830 | 1600 | 900 | b444d75d-6417-44e2-929e-a0e061551d32 | true | NaN | NaN | -39.0 | NaN |
514 | 173838 | 0 | 15 | 1628 | 884 | 1600 | 900 | 5ee04358-302f-4864-942f-d6548540dec6 | true | NaN | NaN | -28.0 | NaN |
531 | 174653 | 0 | 2 | 1670 | 897 | 1600 | 900 | 64a42f53-865f-4fb5-b1b3-bebe53b77e05 | true | NaN | NaN | -70.0 | NaN |
533 | 174695 | 0 | 341 | 1656 | 390 | 1600 | 900 | eefc7f3f-d228-4db7-9354-53a431d1e077 | true | NaN | NaN | -56.0 | NaN |
541 | 174976 | 0 | 37 | 1618 | 862 | 1600 | 900 | bdd08e53-5ab9-4e1a-8403-ee34196582b0 | true | NaN | NaN | -18.0 | NaN |
548 | 203550 | 994 | 0 | 919 | 1096 | 1920 | 1080 | 52800ec3-184b-476e-a967-0f085f0f6341 | true | NaN | NaN | NaN | -16.0 |
565 | 278963 | 871 | 388 | 110 | 138 | 720 | 486 | 3f503d6a-6e12-4911-a31e-cd926583f30d | true | NaN | NaN | -261.0 | -40.0 |
567 | 282619 | 0 | 356 | 197 | 157 | 720 | 486 | eb32bcee-ef3a-4cc7-bdcd-76ca6ed04bd1 | true | NaN | NaN | NaN | -27.0 |
@hohonuuli in terms of a fix I think there are two key errors here: Sometimes the annotation is good and would just require clipping, eg this image. However, sometimes the annotation is mostly or entirely out of frame, example here. Thus, with this fix I think we should have a check if the clipped annotation is within frame to a sufficient extent and if it is than update it and if not then remove the annotation. I am thinking this might involve an iou calculation between the clipped annotation and the image and if its above a certain threshold than we accept it? What do you think? Also, I think it would be great to see see first what percentage of annotations this would remove if so as a sanity check.
In training a model using the FN data I got some warnings (see below) that either the process had encountered duplicate labels and or had ignored corrupt images where the labels had annotations that were out of bounds. Looking into the FN labels themselves I am in fact seeing annotation duplications (example here) as well as annotations where the bounding box location exceeds the image width/height. This won't affect training but it might be nice to have a check for these when ingesting data.
train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/00458c5b-75c9-4d83-bd78-767a08bf141d.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0009] train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/01487edd-cae7-48fa-932c-46e7caeb9433.jpg: 1 duplicate labels removed train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/02d37e98-2aec-497f-82df-3777eff9980e.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0033] train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/02d9c643-ab91-48db-bace-dd938b5dd274.jpg: 1 duplicate labels removed train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/04c4892a-a110-4ea3-b72c-e6665792bbe0.jpg: 1 duplicate labels removed train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/0568a9cd-52c0-4e4b-9775-ac71eeb0077c.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0033] train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/056a35be-f4bb-4c4d-b537-7e11cd7c7909.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0028] train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/0582004f-eb4b-4379-8f7c-a569e699c2e9.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0219] train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/05c5e86c-4a11-42e4-9a16-6e88c20c10fa.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0011] train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/0630ae96-2f38-4bb1-bbeb-771bbef9fa2b.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0046] train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/06451d60-5209-404a-89dd-80190c177e98.jpg: 1 duplicate labels removed train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/069c41f5-a888-4be4-a325-1d5a761139be.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.4566 1.7582] train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/07930995-086a-43bc-b881-2f2f45c5c3d5.jpg: ignoring corrupt image/label: negative label values [-0.00092593] train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/08498134-5bef-4131-a1d2-84900b856837.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0009] train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/08f26384-9d6e-4fcf-a06a-22bebf3c8eeb.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.5472 1.4836] train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/0a822487-c15e-4bd4-8f8a-b39ba903e91e.jpg: 1 duplicate labels removed train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/0b2fd15a-c6da-4b9c-8e77-90a1c01073db.jpg: 1 duplicate labels removed train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/0f864f1b-c118-40c8-856a-7f8189030870.jpg: 1 duplicate labels removed train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/100bd4ef-37f9-4150-8dfa-43786a74e5c7.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0009] train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/1084ec58-c735-40ce-8c2a-be5aa549bd22.jpg: 2 duplicate labels removed train: WARNING ⚠️ 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/content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/15174a2b-b15d-4db0-a93c-a10cea1a5dd5.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0044] train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/15ebdb86-55b5-4714-bf4b-183b8077483a.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0111] train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/16f940f6-d6df-48ac-b276-cb05b0354304.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0028] train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/17b21d6f-bc38-4524-956a-bd1597256b08.jpg: 1 duplicate labels removed train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/190b9a21-6d12-4960-bb60-42db4634bd49.jpg: 1 duplicate labels removed train: WARNING ⚠️ 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of bounds coordinates [ 1.0011] train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/20812009-5c60-477c-8952-4f6c6da13284.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0028] train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/20d18380-6598-420f-9f27-fc07de854c79.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0175] train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/220adafc-82cb-4b43-a5f6-984bfac858dd.jpg: 1 duplicate labels removed train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/22a8df49-dad0-4d3d-b0cd-33276a1e1a79.jpg: 1 duplicate labels removed train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/22b7c029-7df6-4935-97e8-2f5aa789446e.jpg: 1 duplicate labels removed train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/236eaaf1-8144-481d-9f7d-ed34830ffe5d.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0056] train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/23b8a279-f53b-409c-bb0c-61ae8146ddc7.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.3696 1.1064 1.3872 1.3775] train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/247df301-9c8f-4c12-905e-69f7cea75f3c.jpg: 1 duplicate labels removed train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/2536ba44-59a0-46e5-85ff-8ff963f1b3ae.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.3361 1.2514] train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/2538a22c-b548-4781-8a9d-6c18ba09631a.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0005] train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/26ac92fc-996c-4040-8d10-0e8eede1d83c.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0033] train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/27e937d8-de9e-4e3f-930c-bf64c7442b5d.jpg: 1 duplicate labels removed train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/28590e62-25f6-44c4-94ed-aa10fb7ac988.jpg: 1 duplicate labels removed train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/29936364-c88e-4c74-baae-cebfe3d4f052.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0056] train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/2ac1a9f7-2673-4b7d-bbfa-001307027204.jpg: 1 duplicate labels removed train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/2bd854be-e608-4395-aefe-4962639e2b05.jpg: ignoring corrupt image/label: negative label values [ -0.0069444] train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/2bdd5b1a-8622-45c5-bcdb-3d9138535d28.jpg: 1 duplicate labels removed train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/2c2045b4-01c9-4dc8-912a-ce29493c95e0.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0009] train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/2c2f3cf0-63e4-413d-8045-295df83b0436.jpg: 1 duplicate labels removed train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/2c4c6f1b-2f13-4402-b8f5-18a452b5006e.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0019] train: WARNING ⚠️ 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/content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/303c8a4a-50d5-4cb1-8831-9e2146d84663.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0009] train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/318849c3-7581-4e8b-b08e-03766c67a838.jpg: ignoring corrupt image/label: negative label values [ -0.0055556] train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/31c4d9da-a657-42cf-b412-867bdd131297.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0063] train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/3238ad43-1210-4d52-b132-82ae04f160e7.jpg: 1 duplicate labels removed train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/334f419f-7fd3-4a21-8d2a-ed18bec312c7.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0005] train: WARNING ⚠️ 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coordinates [ 1.0157] train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/3aea4959-36a4-4f92-8dcd-7a37edb8a106.jpg: 1 duplicate labels removed train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/3b8088bb-502d-4915-87f1-6152b599012d.jpg: 1 duplicate labels removed train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/3bbdb2bb-0f28-43dd-9766-bc7d2bf4a795.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0037] train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/3bea4e3b-e941-4772-9165-e11bb60419d5.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0557] train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/3c7ea808-2a38-4764-81c8-3fd1a1fe37cc.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0157] train: WARNING ⚠️ 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1.0011] train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/433b1805-41d9-48a6-9a51-7493d5d21a99.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0019] train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/43b1378b-9bbf-4f1e-8147-15c96746472e.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0005] train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/447ea61c-6b3c-4523-bdd4-90e001e9f609.jpg: 2 duplicate labels removed train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/459dac4f-84d2-42be-bc7a-dd9c4a7b710f.jpg: 1 duplicate labels removed train: WARNING ⚠️ /content/gdrive/Shareddrives/ProcessedFathomNet/dataset/images/train/465a72f6-d4b1-4210-bec2-5d8bffd98823.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0005 1.0009] train: WARNING ⚠️ 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