# Object detection for crabs in top-view seabed imagery

Source: [Object detection for crabs in top-view seabed imagery](<https://www.sota2.com/research/paper/68fa69e41e209131cea24a1b>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-25T23:10:38.141Z

Authors: Vlad Velici, Adam Pr\\"ugel-Bennett

Published: 2021-05-02T00:05:17.000Z

## Abstract

This report presents the application of object detection on a database of underwater images of different species of crabs, as well as aerial images of sea lions and finally the Pascal VOC dataset. The model is an end-to-end object detection neural network based on a convolutional network base and a Long Short-Term Memory detector.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/2105.02964>)

[PDF](<https://arxiv.org/pdf/2105.02964.pdf>)