Dataset for Detecting Head and Tail of Fish
Published: 21 June 2021| Version 1 | DOI: 10.17632/7m2yzmpcft.1
Contributors:
Eko Prasetyo, , Description
This dataset is for experimenting with the head and tail of fish detection. The dataset contains 200 images, consisting of 1308 annotations (723 heads, 585 heads) divided into 160 training images, 1073 annotations (591 heads, 482 tails), and 40 testing images of 235 annotations (132 heads, 103 heads). Annotations are created using Labelimg for detection using YOLO.
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Categories
Object Detection, Deep Learning