N+1 fish, N+2 fish dataset (train_videos)
N+1 fish, N+2 fish

train_videos (2664 files)
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0agWG0Rmk8SIeSsf.mp4 72.25MB
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1Fo5dKsd3qLU9hj3.json 9.46kB
1Fo5dKsd3qLU9hj3.mp4 42.16MB
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1G4sv9SbAsIWNTbY.mp4 47.99MB
1GbIwz5YtN1Wd79T.json 34.72kB
1GbIwz5YtN1Wd79T.mp4 138.12MB
1IIJvi55MtgDumgt.json 26.61kB
1IIJvi55MtgDumgt.mp4 87.70MB
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1j0whJmIuqNppXlU.mp4 12.32MB
1LWTahl4UDaBkAZh.json 7.10kB
1LWTahl4UDaBkAZh.mp4 28.75MB
1m4CexFtjZkfB7Ok.json 10.12kB
1m4CexFtjZkfB7Ok.mp4 56.32MB
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1s9QttADRW2ftUPB.mp4 13.53MB
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1uI5nLvyJxt9sHfh.mp4 15.77MB
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1V9hYcKvo2Htdj84.mp4 22.20MB
01wO3HNwawJYADQw.json 3.09kB
01wO3HNwawJYADQw.mp4 14.42MB
2BOHn5mxQw2zUPKQ.json 4.44kB
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2DNqLOxLYNcwlpp8.mp4 23.98MB
2H0H9K6Wg72LrgqI.json 12.52kB
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2NFKtAFkbqRrxO0D.mp4 51.54MB
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2nM39Bte2bhQQI0R.mp4 41.13MB
2NOY7wU3w8sJsn45.json 3.07kB
2NOY7wU3w8sJsn45.mp4 11.59MB
2OsFoE12GHMAYf3G.json 2.61kB
2OsFoE12GHMAYf3G.mp4 42.00MB
2OTDd59IGNgAc5mp.json 6.62kB
2OTDd59IGNgAc5mp.mp4 42.82MB
2OXmbk96ryat0j4o.json 41.72kB
2OXmbk96ryat0j4o.mp4 189.33MB
02p3Yn87z0b5grhL.json 1.91kB
02p3Yn87z0b5grhL.mp4 11.65MB
2pM6PVIrdsREkQMo.json 3.32kB
2pM6PVIrdsREkQMo.mp4 6.43MB
2t0PHkDQUCXjgk3E.json 3.08kB
2t0PHkDQUCXjgk3E.mp4 9.20MB
2UDdulFeVFHqF4um.json 36.63kB
2UDdulFeVFHqF4um.mp4 143.15MB
2vXRZS4iJNKalPSZ.json 3.54kB
2vXRZS4iJNKalPSZ.mp4 17.53MB
2wZraJjBSmRmF5nh.json 1.19kB
2wZraJjBSmRmF5nh.mp4 12.51MB
2xga6knc7IrLlQTM.json 1.66kB
2xga6knc7IrLlQTM.mp4 6.63MB
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3AZ4vnnPHBcYOvvr.json 1.65kB
3AZ4vnnPHBcYOvvr.mp4 9.42MB
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3EeYHibzESZSl2mI.mp4 130.34MB
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3l5nY91sU1SMCtlt.mp4 51.45MB
3l8PDz7HXZW1T7zE.json 8.27kB
3l8PDz7HXZW1T7zE.mp4 102.45MB
3m2UBdGStG37E2dx.json 4.50kB
3m2UBdGStG37E2dx.mp4 18.27MB
3ooX7fh7NzPSzhhN.json 13.27kB
3ooX7fh7NzPSzhhN.mp4 88.39MB
3Oshq6Soyff2mjRy.json 1.44kB
3Oshq6Soyff2mjRy.mp4 4.39MB
3QJEa8JchQ6vT5Uo.json 31.16kB
3QJEa8JchQ6vT5Uo.mp4 150.56MB
3QReDhaNy9IGKC6t.json 1.65kB
3QReDhaNy9IGKC6t.mp4 10.42MB
3Rfd2JyDZq8elFbZ.json 4.96kB
3Rfd2JyDZq8elFbZ.mp4 80.53MB
3rS9OnbcLiOO5Jau.json 5.15kB
3rS9OnbcLiOO5Jau.mp4 53.80MB
3rwuB4DKacKpG00a.json 36.46kB
3rwuB4DKacKpG00a.mp4 126.61MB
3UvmmKLu6AjW12L4.json 1.22kB
3UvmmKLu6AjW12L4.mp4 31.10MB
3yal2cCgymirTCJR.json 10.18kB
3yal2cCgymirTCJR.mp4 40.17MB
3ZztYZ5HAZMPXbAS.json 2.60kB
3ZztYZ5HAZMPXbAS.mp4 112.03MB
4abznQY6wjUrwq4W.json 1.21kB
4abznQY6wjUrwq4W.mp4 6.93MB
4bZWNDwQP3mQv0dh.json 3.04kB
4bZWNDwQP3mQv0dh.mp4 26.80MB
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4C7RCnf6sMJUjpFK.mp4 69.69MB
4cH7WydJyHjBIOkz.json 4.93kB
4cH7WydJyHjBIOkz.mp4 54.36MB
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4dUnLM3j6Td9LIip.mp4 7.02MB
4DWVfALdiot7VXrJ.json 17.06kB
4DWVfALdiot7VXrJ.mp4 72.52MB
4hUAXYleQJ123Yqs.json 8.21kB
4hUAXYleQJ123Yqs.mp4 31.54MB
4IP83ZpC040lKRFI.json 3.06kB
4IP83ZpC040lKRFI.mp4 44.26MB
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4mNj1tQB0GmRB40w.mp4 45.52MB
4NCukDSWzGp1XEku.json 8.18kB
4NCukDSWzGp1XEku.mp4 50.83MB
4NhW1eXSsvKNaSER.json 5.40kB
4NhW1eXSsvKNaSER.mp4 77.59MB
4NKVYrWvsixku2l5.json 6.59kB
4NKVYrWvsixku2l5.mp4 58.80MB
4O5Yvo29zwuLeDkt.json 6.15kB
4O5Yvo29zwuLeDkt.mp4 18.00MB
4Sc7lKDpCbsFQnFW.json 14.95kB
4Sc7lKDpCbsFQnFW.mp4 49.02MB
4WdgKA2p9Hy3sJj0.json 1.90kB
4WdgKA2p9Hy3sJj0.mp4 5.49MB
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4xdqBa6oTTbpSZXt.mp4 58.51MB
4xJEbOAEDEu6Og77.json 7.23kB
4xJEbOAEDEu6Og77.mp4 65.98MB
4xuKpTmVY7LhLwOJ.json 5.67kB
4xuKpTmVY7LhLwOJ.mp4 49.44MB
4Zgr1BmaffX3LOLE.json 1.44kB
4Zgr1BmaffX3LOLE.mp4 26.69MB
5BEEvcPlbtAtA5St.json 17.52kB
5BEEvcPlbtAtA5St.mp4 104.10MB
5BnsrRKRXHoxywVN.json 1.88kB
5BnsrRKRXHoxywVN.mp4 11.99MB
5C5iLnYVOGe8dEpr.json 18.96kB
5C5iLnYVOGe8dEpr.mp4 43.11MB
5DF1chbq4ZLVbuv4.json 35.67kB
5DF1chbq4ZLVbuv4.mp4 134.73MB
5en2F1FltbP31TJK.json 3.09kB
5en2F1FltbP31TJK.mp4 53.70MB
5g0IfKSS3qubtN6j.json 2.60kB
5g0IfKSS3qubtN6j.mp4 8.69MB
5hqsdjseI59O2miQ.json 8.99kB
5hqsdjseI59O2miQ.mp4 26.56MB
5IxEWAV7PAWqD3x9.json 20.65kB
5IxEWAV7PAWqD3x9.mp4 83.22MB
5jGY59T1bVqCFSC3.json 5.40kB
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Type: Dataset
Tags:

Bibtex:
@article{,
title= {N+1 fish, N+2 fish dataset (train_videos)},
journal= {},
author= {N+1 fish, N+2 fish},
year= {},
url= {https://www.drivendata.org/competitions/48/identify-fish-challenge},
abstract= {Our video data was collected for an ongoing monitoring project involving our partners at The Nature Conservancy-Massachusetts (TNC) and the Gulf of Maine Research Institute (GMRI). We worked with the fishermen to create a dataset of video footage from different boats that can be released to the public. 

The video data is in the form of standard and well supported MP4 v2 format with H.264 compression. These videos are on average 35 minutes long at a resolution of 640x480 and and vary between 150MB to 550MB in size. We will also provide cropped fish images to aid in training complementary models. Our annotations will be categorial with each fish having a single species. 

There are six species of interest for this competition, which appear in a non-balanced proportion. As we aim to achieve performance on each of these species, we will be compiling a data set that is mostly balanced across these species. Complicating factors include different catch distributions across different vessels, which can have an adverse performance on the types of algorithms submitted if people attempt to game the system by parameterizing these distributions. We are attempting to balance the data set by providing at least 100 unique fish for each species within the videos from multiple vessels.




![](https://i.imgur.com/qHK6WUz.png)

![](https://i.imgur.com/T7UDAJA.png)},
keywords= {},
terms= {},
license= {},
superseded= {}
}

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10 day statistics (1 downloads taking more than 30 seconds)

Average Time 10 hours, 31 minutes, 10 seconds
Average Speed 1.82MB/s
Best Time 10 hours, 31 minutes, 10 seconds
Best Speed 1.82MB/s
Worst Time 10 hours, 31 minutes, 10 seconds
Worst Speed 1.82MB/s
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