CAMO

该数据集包含了1250张自然和人工伪装物体的图像，其中训练集有1000张，测试集有250张。此外，训练集中还包含了1000张非伪装物体的图像，而测试集中则有250张非伪装物体的图像。该数据集广泛应用于伪装物体检测任务，规模达到了1250张图像，其任务专长是伪装物体检测。

This dataset contains 1250 images of natural and artificially camouflaged objects, with 1000 samples in the training set and 250 samples in the test set. Additionally, the training set includes 1000 images of non-camouflaged objects, while the test set contains 250 such images. This dataset is widely applied to camouflaged object detection tasks, with 1250 total camouflaged images, and its core specialization is camouflaged object detection.

搜集汇总

背景与挑战

背景概述

CAMO是一个专注于伪装目标分割的数据集，包含1250张自然/人工伪装图像及对应非伪装图像，提供对象掩模标注。数据集采用非商业许可协议，适用于计算机视觉领域的研究。