issues
search
OpenDroneMap
/
ODMSemantic3D
An open photogrammetry dataset of classified 3D point clouds for automated semantic segmentation. CC BY-SA 4.0
Other
15
stars
7
forks
source link
Add walter.laz
#35
Closed
pierotofy
closed
1 year ago
u4gbot
commented
1 year ago
brighton_beach_small
Overall accuracy from 95.76% to 82.98% | ground | Accuracy | Recall | Precision | F1 | | -------------------- | -------- | -------- | --------- | -------- | | Before | 96.07% | 98.65% | 97.36% | 0.98 | | After | 83.10% | 83.10% | 99.99% | 0.91 | | Diff | -12.98% | -15.54% | 2.64% | -0.07 | | human_made_object | Accuracy | Recall | Precision | F1 | | -------------------- | -------- | -------- | --------- | -------- | | Before | 36.89% | 37.05% | 98.85% | 0.54 | | After | 0.00% | 0.00% | N/A | N/A | | Diff | -36.89% | -37.05% | N/A | N/A | | building | Accuracy | Recall | Precision | F1 | | -------------------- | -------- | -------- | --------- | -------- | | Before | 22.14% | 53.03% | 27.53% | 0.36 | | After | 7.20% | 99.49% | 7.20% | 0.13 | | Diff | -14.94% | 46.45% | -20.34% | -0.23 | | low_vegetation | Accuracy | Recall | Precision | F1 | | -------------------- | -------- | -------- | --------- | -------- | | Before | 23.78% | 29.40% | 55.45% | 0.38 | | After | 25.52% | 94.05% | 25.94% | 0.41 | | Diff | 1.74% | 64.65% | -29.51% | 0.02 |
sheffield_park_small
Overall accuracy from 23.63% to 79.27% | ground | Accuracy | Recall | Precision | F1 | | -------------------- | -------- | -------- | --------- | -------- | | Before | 0.44% | 0.44% | 86.19% | 0.01 | | After | 90.87% | 91.87% | 98.81% | 0.95 | | Diff | 90.43% | 91.43% | 12.62% | 0.94 | | human_made_object | Accuracy | Recall | Precision | F1 | | -------------------- | -------- | -------- | --------- | -------- | | Before | 1.43% | 1.50% | 21.78% | 0.03 | | After | 4.20% | 75.23% | 4.26% | 0.08 | | Diff | 2.78% | 73.73% | -17.52% | 0.05 | | building | Accuracy | Recall | Precision | F1 | | -------------------- | -------- | -------- | --------- | -------- | | Before | 51.70% | 70.70% | 65.80% | 0.68 | | After | 0.01% | 0.01% | 63.64% | 0.00 | | Diff | -51.70% | -70.70% | -2.17% | -0.68 | | low_vegetation | Accuracy | Recall | Precision | F1 | | -------------------- | -------- | -------- | --------- | -------- | | Before | 18.60% | 99.98% | 18.60% | 0.31 | | After | 50.22% | 68.94% | 64.91% | 0.67 | | Diff | 31.62% | -31.04% | 46.31% | 0.35 |
Average (2 datasets)
Overall accuracy from 59.70% to 81.12%
ground
Accuracy
Recall
Precision
F1
Before
48.26%
49.54%
91.77%
0.49
After
86.98%
87.49%
99.40%
0.93
Diff
38.73%
37.94%
7.63%
0.44
human_made_object
Accuracy
Recall
Precision
F1
Before
19.16%
19.28%
60.32%
0.28
After
2.10%
37.62%
2.13%
0.04
Diff
-17.06%
18.34%
-58.19%
-0.24
building
Accuracy
Recall
Precision
F1
Before
36.92%
61.87%
46.67%
0.52
After
3.60%
49.75%
35.42%
0.07
Diff
-33.32%
-12.12%
-11.25%
-0.45
low_vegetation
Accuracy
Recall
Precision
F1
Before
21.19%
64.69%
37.02%
0.35
After
37.87%
81.49%
45.42%
0.54
Diff
16.68%
16.81%
8.40%
0.19
brighton_beach_small
Overall accuracy from 95.76% to 82.98% | ground | Accuracy | Recall | Precision | F1 | | -------------------- | -------- | -------- | --------- | -------- | | Before | 96.07% | 98.65% | 97.36% | 0.98 | | After | 83.10% | 83.10% | 99.99% | 0.91 | | Diff | -12.98% | -15.54% | 2.64% | -0.07 | | human_made_object | Accuracy | Recall | Precision | F1 | | -------------------- | -------- | -------- | --------- | -------- | | Before | 36.89% | 37.05% | 98.85% | 0.54 | | After | 0.00% | 0.00% | N/A | N/A | | Diff | -36.89% | -37.05% | N/A | N/A | | building | Accuracy | Recall | Precision | F1 | | -------------------- | -------- | -------- | --------- | -------- | | Before | 22.14% | 53.03% | 27.53% | 0.36 | | After | 7.20% | 99.49% | 7.20% | 0.13 | | Diff | -14.94% | 46.45% | -20.34% | -0.23 | | low_vegetation | Accuracy | Recall | Precision | F1 | | -------------------- | -------- | -------- | --------- | -------- | | Before | 23.78% | 29.40% | 55.45% | 0.38 | | After | 25.52% | 94.05% | 25.94% | 0.41 | | Diff | 1.74% | 64.65% | -29.51% | 0.02 |sheffield_park_small
Overall accuracy from 23.63% to 79.27% | ground | Accuracy | Recall | Precision | F1 | | -------------------- | -------- | -------- | --------- | -------- | | Before | 0.44% | 0.44% | 86.19% | 0.01 | | After | 90.87% | 91.87% | 98.81% | 0.95 | | Diff | 90.43% | 91.43% | 12.62% | 0.94 | | human_made_object | Accuracy | Recall | Precision | F1 | | -------------------- | -------- | -------- | --------- | -------- | | Before | 1.43% | 1.50% | 21.78% | 0.03 | | After | 4.20% | 75.23% | 4.26% | 0.08 | | Diff | 2.78% | 73.73% | -17.52% | 0.05 | | building | Accuracy | Recall | Precision | F1 | | -------------------- | -------- | -------- | --------- | -------- | | Before | 51.70% | 70.70% | 65.80% | 0.68 | | After | 0.01% | 0.01% | 63.64% | 0.00 | | Diff | -51.70% | -70.70% | -2.17% | -0.68 | | low_vegetation | Accuracy | Recall | Precision | F1 | | -------------------- | -------- | -------- | --------- | -------- | | Before | 18.60% | 99.98% | 18.60% | 0.31 | | After | 50.22% | 68.94% | 64.91% | 0.67 | | Diff | 31.62% | -31.04% | 46.31% | 0.35 |Average (2 datasets)
Overall accuracy from 59.70% to 81.12%