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HiFSOD-Bird

HiFSOD‑Bird is the first dataset for the HIFSOD problem. It contains 176,350 wild bird images, divided into 1,432 categories, organized into a four‑level taxonomy comprising 32 orders, 132 families, 572 genera, and 1,432 species.

Updated 11/23/2022
github

Description

Dataset Overview

  • Name: HiFSOD‑Bird
  • Type: The first dataset for Hierarchical Few‑Shot Object Detection (HIFSOD)
  • Content: Contains 176,350 wild bird images, divided into 1,432 categories organized into a four‑level taxonomy with 32 orders, 132 families, 572 genera, and 1,432 species.
  • Download Link: Google Driver

Citation Information

  • Paper: Zhang, Lu et al. "Hierarchical Few‑Shot Object Detection: Problem, Benchmark and Method." Proceedings of the 30th ACM International Conference on Multimedia. 2022.
  • Citation Format:
@inproceedings{10.1145/3503161.3548412,
author = {Zhang, Lu and Wang, Yang and Zhou, Jiaogen and Zhang, Chenbo and Zhang, Yinglu and Guan, Jihong and Bian, Yatao and Zhou, Shuigeng},
title = {Hierarchical Few‑Shot Object Detection: Problem, Benchmark and Method},
year = {2022},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3503161.3548412},
doi = {10.1145/3503161.3548412},
booktitle = {Proceedings of the 30th ACM International Conference on Multimedia},
pages = {2002–2011},
location = {Lisboa, Portugal},
series = {MM 22}
}

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Topics

Bird Species Recognition
Object Detection

Source

Organization: github

Created: 7/9/2022

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