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

test_videos (667 files)
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zx15Tp4qAqEKS6RC.mp4 115.12MB
zyjEx84aUTaBzbIX.mp4 77.77MB
Zx4sYm4mNgSiE4Ef.mp4 44.52MB
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ZU6XtvFk0UMrHLEL.mp4 168.46MB
ZuUXSVYizhuz6GRl.mp4 30.25MB
ZWhjMGsQagEQyKw4.mp4 3.11MB
zRDrkGy8NdLbtCjQ.mp4 131.81MB
ZtuEqQbZV15Fgexj.mp4 137.38MB
zNBoeW9RsZaK64ox.mp4 45.53MB
ZPbyZj8y7DnyCQ1Q.mp4 22.74MB
ZpRnoz8h1OSTlbrG.mp4 53.47MB
zjvCxfbC8cNvFYin.mp4 79.70MB
ZjzVRo7gTHBqinWK.mp4 8.81MB
zFhPI1QBcDZonG2v.mp4 31.60MB
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zJBjpCwPNiusxZca.mp4 34.50MB
zAKCL7Vth3sddIrd.mp4 12.08MB
ZAKosyPYJFptY7wk.mp4 99.28MB
zaVDOVQfvHeg93mx.mp4 42.35MB
YtiNfXUcUZUCSfOP.mp4 19.78MB
YYLPygGBVzjyux42.mp4 49.26MB
z9IYZ8OvL9aSQFaA.mp4 21.79MB
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YOEHWRUtbrC3pAik.mp4 40.71MB
YKAZHl7rb5QSJE8o.mp4 67.43MB
YkDKu3Oaes0Y6sIA.mp4 51.43MB
YLPpw0VWhtjDYnqM.mp4 82.20MB
yg7ECQpO3ldaUfeK.mp4 10.51MB
yJ401V4XyitAcblO.mp4 42.72MB
YKABhUPv9sHWRPiZ.mp4 4.41MB
YcaLUNnd6nOI9USh.mp4 262.59MB
YCwkYgEv3Wb4AJ20.mp4 126.75MB
YEQYOWjqfInkhzNl.mp4 31.58MB
Y516seZDDhZifUrq.mp4 75.11MB
YAMN4bVzV6ZwiTc1.mp4 27.37MB
xzo3wNe4D9jx5dK9.mp4 64.35MB
xzPXYidqXQVMk20S.mp4 60.32MB
y25nn2sEk5Z0vxwa.mp4 62.69MB
xWMq9SGPf3sE0F1m.mp4 144.74MB
xxyJIpwgvm1hvQ92.mp4 109.38MB
XZ6A4zeUrBfhYH2O.mp4 37.82MB
Xs7WvDh6H3p6dXFe.mp4 24.50MB
XuGKKvJVGA8dbRmj.mp4 19.66MB
XpRNGyA80RhGlPuF.mp4 18.83MB
XQcs0x8q2FxLGNN6.mp4 22.90MB
XQR04mtq2iAWmaZ9.mp4 29.94MB
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Type: Dataset

title= {N+1 fish, N+2 fish dataset (test_videos)},
journal= {},
author= {N+1 fish, N+2 fish},
year= {},
url= {},
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.


keywords= {},
terms= {},
license= {},
superseded= {}

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