The YCB-Video dataset contributed by PoseCNN is based on the YCB dataset. 21 objects are selected, and photographed with an RGBD camera to make 92 videos. The entire data set contains 133827 frames.
The YCB-Video dataset is a little hard to download from Google Drive. Because it only consists of a super large compressed file (256GB) and does not support resumable transmission. Once the download fails, you will face an rate limitation (usually 24 hours) and have to download again from the first byte!😭
So I used sub-volume compression, each file is round 10GB in size with a verifiable hash. Although multi-threaded downloading is still not allowed, at least you can re-download from a sub-volume instead of the whole. Furthermore, I added text labels for YOLO training to each image under the data folder.
YOLO Demos
Download Links
- (Onedrive) https://1drv.ms/u/s!ArXt0Kjjeh3YoA1p-6b1Pyyj4Lsb?e=G0HCdD
- (Original Google Drive) https://drive.google.com/file/d/1if4VoEXNx9W3XCn0Y7Fp15B4GpcYbyYi/view
Hash List
- MD5 (YCB_dataset.7z.001) = 2938959578526c439fcf305039d771ee
- MD5 (YCB_dataset.7z.002) = 5ff069313a4b1e80d5a4d49a5143520e
- MD5 (YCB_dataset.7z.003) = d91401bfe17a58d112005b3d7ce54bee
- MD5 (YCB_dataset.7z.004) = 03d90d90fca58cb718f7166f308d2b73
- MD5 (YCB_dataset.7z.005) = d7efe9d3ebadc0e349530013cf2bcdbd
- MD5 (YCB_dataset.7z.006) = a726108c94cedcf13cc7542d15f48094
- MD5 (YCB_dataset.7z.007) = 172cef59b5aba068a44964999092c48e
- MD5 (YCB_dataset.7z.008) = 204d10e89150b94303ea9408590bce1a
- MD5 (YCB_dataset.7z.009) = d563b4bd3b503714084ecf25776220f0
- MD5 (YCB_dataset.7z.010) = 42221d4aaf8f766ec43d5591cff9eb8e
- MD5 (YCB_dataset.7z.011) = 127027a358a62f7174365548911d82eb
- MD5 (YCB_dataset.7z.012) = a9527c328b11596467bf7c824f78fe54
- MD5 (YCB_dataset.7z.013) = e74735f6fef230cce28e51be269a7db3
- MD5 (YCB_dataset.7z.014) = fef10290667ed8770f4a69f68cf2d406
- MD5 (YCB_dataset.7z.015) = 53ea620a14d222e19e18e276acb37f38
- MD5 (YCB_dataset.7z.016) = c2e70cbc44a9ec83561e4d8568ed133b
- MD5 (YCB_dataset.7z.017) = 9585027e3a1b4c419597602cbc6a8405
- MD5 (YCB_dataset.7z.018) = e8a98ef2781e7acf610178db9f087fce
- MD5 (YCB_dataset.7z.019) = 574864e2957de06da819352a0a84e752
- MD5 (YCB_dataset.7z.020) = b7702d60e957744cb87529daf077c22a
- MD5 (YCB_dataset.7z.021) = 2492ec78e8c761531d31040d44ae5a85
- MD5 (YCB_dataset.7z.022) = 8e059c0bedde4107fdff67395bbcc77a
- MD5 (YCB_dataset.7z.023) = 30cd6e0ffb69f6aa5a367d361b949399
- MD5 (YCB_dataset.7z.024) = dfd92b2b0a5b67ef8bdf2352f18f5bf4
- MD5 (YCB_dataset.7z.025) = c75e34108ecac57e9a1cd711b0a076e1
- MD5 (YCB_dataset.7z.026) = a05f01f90d5b9380c1686e5d4ae10588
- MD5 (YCB_dataset.7z.027) = b9a49dd0e5ef545dd414f7269d9a644c
- MD5 (YCB_dataset.7z.028) = 1312e78288569cf7eb4cd03046e6e48a
- MD5 (YCB_dataset.7z.029) = 4c21dfd4b7a8d324807b863d1316599b
Thanks a lot for sharing the dataset in a downloadable way.
One more point
I think one information that is missing from the page is how to merge the splits. In order to merge the split after completion of download, run this command:
7z x -tsplit YCB_dataset.7z.001
Thank you for loving this.