目标检测数据集汇总

目标检测（Object Detection）的任务是找出图像中所有感兴趣的目标（物体），确定它们的类别和位置，是计算机视觉领域的核心问题之一。由于各类物体有不同的外观、形状和姿态，加上成像时光照、遮挡等因素的干扰，目标检测一直是计算机视觉领域最具有挑战性的问题。

本文整理了学术界/业界主要使用的目标检测数据集，并在协议许可的提供下为算法研发人员提供了天池站点存储。

The task of Object Detection, one of the core problems in the field of Computer Vision, aims to identify all objects of interest in an image and determine their categories and positions. Due to the varying appearances, shapes and postures of different objects, as well as interferences from factors such as illumination and occlusion during imaging, Object Detection has always been one of the most challenging problems in the field of Computer Vision.

This paper collates the major Object Detection datasets widely used in academic and industrial communities, and provides storage on the Tianchi Platform for algorithm researchers and developers under the permitted license agreements.

搜集汇总

背景与挑战

背景概述

该数据集是一个目标检测数据集的汇总文档，整理了Pascal VOC、ImageNet、MS-COCO等多个主流数据集的详细信息，包括简介、官网和下载链接。它旨在为算法研发人员提供便捷的参考资源，通过天池平台集中访问这些公共数据集，但本身不包含实际的图像或标注数据。