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Fish Recognition Ground-Truth
创建来自Hello Dataset
概要
代码
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Overview

This fish data is acquired from a live video dataset resulting in 27370 verified fish images. The whole dataset is divided into 23 clusters and each cluster is presented by a representative species, which is based on the synapomorphies characteristic from the extent that the taxon is monophyletic. The representative image indicates the distinction between clusters shown in the figure below, e.g. the presence or absence of components (anal-fin, nasal, infraorbitals), specific number (six dorsal-fin spines, two spiny dorsal-fins), particular shape (second dorsal-fin spine long), etc. This figure shows the representative fish species name and the numbers of detections. The data is very imbalanced where the most frequent species is about 1000 times more than the least one.

img

Data Annotation

This data is organized into 23 groups, where the fish images and their masks are stored separately. Each cluster has a single package. The image files are named as "tracking id_fish id". Fish images with the same "tracking id" means they are belong to the same trajectory. "fish id" is a global unique id, which ranges from 1 to 27370. A reverse table contains "file name verse cluster id" is provided at here. The whole package of all groups is available here (510,912,000 bytes, checkSum).

ID.speciesDetection #Trajectory #
01.Dascyllus reticulatus121124240
02.Plectroglyphidodon dickii26831225
03.Chromis chrysura35931175
04.Amphiprion clarkii40491021
05.Chaetodon lunulatus2534536
06.Chaetodon trifascialis19079
07.Myripristis kuntee45071
08.Acanthurus nigrofuscus21871
09.Hemigymnus fasciatus24158
10.Neoniphon sammara29953
11.Abudefduf vaigiensis9842
12.Canthigaster valentini14728
13.Pomacentrus moluccensis18127
14.Zebrasoma scopas9023
15.Hemigymnus melapterus4216
16.Lutjanus fulvus20615
17.Scolopsis bilineata498
18.Scaridae565
19.Pempheris vanicolensis296
20.Zanclus cornutus216
21.Neoglyphidodon nigroris168
22.Balistapus undulatus416
23.Siganus fuscescens256

Citation

@article{boom2012long,
  title={Long-term underwater camera surveillance for monitoring and analysis of fish populations},
  author={Boom, Bastiaan J and Huang, Phoenix X and Beyan, Cigdem and Spampinato, Concetto and Palazzo, Simone and He, Jiyin and Beauxis-Aussalet, Emmanuelle and Lin, Sun-In and Chou, Hsiu-Mei and Nadarajan, Gayathri and others},
  journal={VAIB12},
  year={2012}
}
@inproceedings{boom2012supporting,
  title={Supporting ground-truth annotation of image datasets using clustering},
  author={Boom, Bastiaan J and Huang, Phoenix X and He, Jiyin and Fisher, Robert B},
  booktitle={Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012)},
  pages={1542--1545},
  year={2012},
  organization={IEEE}
}

License

Custom

🎉感谢Hello Dataset的贡献
数据集信息
应用场景Animal
标注类型Classification
任务类型暂无
LicenseCustom
更新时间2021-03-24 22:46:33
数据概要
数据格式Image
数据数量0
已标注数量0
文件大小487KB
版权归属方
Fish4knowledge
标注方
未知
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