Printed Board Circuit (PCB) Component Detection is a dataset for an object detection task. Possible applications of the dataset could be in the waste recycling industry.
The dataset consists of 1410 images with 11119 labeled objects belonging to 9 different classes including cap1, transformer, MOSFET, and other: mov, cap2, cap3, resistor, cap4, and resestor.
Images in the PCB Component Detection dataset have bounding box annotations. There are 114 (8% of the total) unlabeled images (i.e. without annotations). There are 3 splits in the dataset: train (1099 images), validation (200 images), and test (111 images). The dataset was released in 2021.
