Code and Datasets

Amazon Robotic Manipulation Benchmark (ARMBench)

Chaitanya Mitash, Fan Wang, Shiyang Lu, Vikedo Terhuja, Tyler Garaas, Felipe Polido, Manikantan Nambi

2023

Last updated May 22, 2023

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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.

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