MMEWaste: A multi-modal image dataset for electronic waste

Dataset Description:We construct a multimodal dataset of electronic component waste in complex environments, named MMEWaste (Multimodal Electronic Waste), which includes both RGB images and depth images, with a total of 9,862 high-resolution samples. Data acquisition is conducted using a high-resolution RGB camera and a structured-light depth camera in a synchronized manner to ensure spatial-temporal alignment consistency. The dataset covers nine categories of common electronic component waste: diode, capacitor, transistor, resistor, inductor, integrated circuit, switch connector, potentiometer, and other electronic components. It also contains images under varying levels of illumination degradation (slight dimness, moderate dimness, severe dimness) and occlusion (slight occlusion, moderate occlusion, severe occlusion).

As the related paper is currently under review, both datasets will remain temporarily confidential, and only partial data are disclosed here. The complete datasets will be released once the article is accepted.

Usage Policy:If you plan to use our data in a scientific research paper, we strongly recommend contacting us in advance to seek our feedback, and considering acknowledging our contributions or including us as co-authors.