Scalsol / mega.pytorch

Memory Enhanced Global-Local Aggregation for Video Object Detection, CVPR2020
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which dataset should I download? #73

Open SpongeBab opened 3 years ago

SpongeBab commented 3 years ago

VID initial release. 22GB. MD5: b329300dd0cd4422171878970d30e1da

VID initial release snippets. 15GB. MD5: 4e8f46f7d507edec5a42e1c25de664c3

There are a total of 1952 snippets for training. The number of snippets for each synset ranges from 23 to 261. There are 281 validation snippets and 458 test snippets. All snippets are extracted into frames in JPEG format. Original snippets are also provided.

VID final releasenew 43GB. MD5: ec74f41fc65873eaa55abafc75db23b4

VID final release snippetsnew 7.8GB. MD5: f338ddd0765e0703097b7462a4fb3186

These are the new data. There are a total of 1910 snippets for training. There are 274 validation snippets and 479 test snippets. All snippets are extracted into frames in JPEG format. Original snippets are also provided.

VIDnew 86GB. MD5: 5feb88ac3345e5b5eae71f6ec8a91325

and this is DET DET dataset. 49GB. MD5: 676c745e4329b0592cd855ec0fbbae94

The training and validation dataset is unchanged from ILSVRC2014. There are a total of 456567 images for training. The number of positive images for each synset (category) ranges from 461 to 67513. The number of negative images ranges from 42945 to 70626 per synset. There are 20121 validation images. All images are in JPEG format.

DET test dataset. 6GB. MD5: 51e04a189e97dece83a025d69c3888e8

The test dataset is refreshed by adding 11142 new images. The file contains 51294 (40152 + 11142) images and the test.txt file. DET test dataset (new). 914MB. MD5: 9d7685ed0f26281ac87e31d82f036be1

The file only contains 11142 new images and the test.txt file.

which VID and DET dataset should I choose?

Sanku-Yogesh commented 2 years ago

Hey, I do have the same doubt. You found?

Sanku-Yogesh commented 2 years ago

I have downloaded VID final release snippetsnew 7.8GB but it doesn't have any annotations file