computer-vision

Fish Detection

3260 papers • 126 benchmarks • 313 datasets

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Benchmarks

These leaderboards are used to track progress in fish-detection

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Dataset

Best Model

Actions

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Libraries

i

Use these libraries to find fish-detection models and implementations

Datasets

DeepFish

Fishnet Open Images

Subtasks

No subtasks available.

Most implemented papers

FishMOT: A Simple and Effective Method for Fish Tracking Based on IoU Matching

Shuo Liu, Lulu Han, Xiaoyang Liu, Junli Ren, Fang Wang, Ying Liu, Yuanshan Lin•Tue Sep 05 2023

Experimental results demonstrate FishMOT outperforms state-of-the-art multi-object trackers and specialized fish tracking tools in terms of MOTA (Multiple Object Tracking Accuracy), accuracy, computation time, memory consumption, etc and exhibits excellent robustness and generalizability for varying environments and fish numbers.

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Paper Graph

Underwater Fish Detection Using Deep Learning for Water Power Applications

Wenwei Xu, S. Matzner•Sun Nov 04 2018

A deep learning model, YOLO, was trained to recognize fish in underwater video using three very different datasets recorded at real-world water power sites, indicating that different methods are needed in order to produce a trained model that can generalize to new data sets such as those encountered in real world applications.

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Paper Graph

Adding a benchmark result helps the community track progress.