Amazon Robotic Manipulation Benchmark (ARMBench)
A large-scale benchmark dataset for perception and manipulation challenges in a robotic pick-and-place setting. The dataset is collected in an Amazon warehouse and captures a wide variety of objects and configurations. It comprises images and videos for different stages of robotic manipulation including picking, transferring, and placing with high-quality annotations. Currently, the dataset provides data annotations for three main computer vision tasks: Object segmentation, Object Identification, and Defect Detection on images and videos.