N+1 fish, N+2 fish dataset (train_videos)

Our video data was collected for an ongoing monitoring project involving our partners at The Nature Conservancy-Massachusetts (TNC) and the Gulf of Maine Research Institute (GMRI). We worked with the fishermen to create a dataset of video footage from different boats that can be released to the public. The video data is in the form of standard and well supported MP4 v2 format with H.264 compression. These videos are on average 35 minutes long at a resolution of 640x480 and and vary between 150MB to 550MB in size. We will also provide cropped fish images to aid in training complementary models. Our annotations will be categorial with each fish having a single species. There are six species of interest for this competition, which appear in a non-balanced proportion. As we aim to achieve performance on each of these species, we will be compiling a data set that is mostly balanced across these species. Complicating factors include different catch distributions across different vessels, whi

本视频数据集的收集旨在支持一项持续进行的监控项目，该项目由我方与自然保护协会-马萨诸塞州（TNC）及缅因湾海洋研究所（GMRI）的合作伙伴共同实施。我们与渔民合作，构建了一个包含不同船只视频片段的数据集，并计划将其公开。视频数据以标准且广泛支持的MP4 v2格式存储，采用H.264压缩。视频平均时长约为35分钟，分辨率为640x480，文件大小介于150MB至550MB之间。此外，我们将提供裁剪后的鱼类图像，以辅助补充模型的训练。标注信息将采用分类形式，每条鱼仅对应一个物种。本竞赛关注六种鱼类，其出现比例不均。为了实现针对每种鱼类的性能目标，我们将编纂一个在物种分布上尽可能均衡的数据集。复杂因素还包括不同船只间的捕获分布差异，以及