Recent advances in robotic vision and artificial intelligence have allowed researchers to develop environment recognition systems for lower-limb exoskeletons and prostheses. However, insufficient and private training datasets have impeded the widespread development and dissemination of image classification algorithms for environment recognition. To address these shortcomings, we have developed “ExoNet”, the first open-source large-scale hierarchical dataset of high-resolution wearable camera images of human locomotion environments.