FishingROV/scallop_lr_teacher_640

该数据集是为FishingROV边缘推理管道生成的优化衍生格式。它基于圣安德鲁斯大学King Scallop数据集，并根据原始数据集条款，以知识共享署名4.0国际许可（CC-BY 4.0）发布。数据集适用于目标检测任务，包含yolo、水下、海洋生物学、扇贝和rov等标签，样本数量在1K到10K之间。

This dataset is an optimized derivative format generated for the FishingROV edge inference pipeline. It is based on the University of St Andrews King Scallop dataset and is released under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license in accordance with the original datasets terms. The dataset is categorized under object-detection tasks and includes tags such as yolo, underwater, marine-biology, scallop, and rov, with a size category between 1K and 10K samples.