Dataset format: VOC + YOLO format
Number of images: 8643
Number of annotations (number of xml files): 8643
Number of labels (number of txt files): 8643
Number of categories: 26
Classes ：[‘Crankshaft’, ‘Centrifugal_body’, ‘Washer_container’, ‘Circlip_container’, ‘Hanging_screw_driver’, ‘Multi_plate_wet_clutch’,’Clutch_nut_container’, ‘Hands’, ‘Centrifugal_nut_container’, ‘Magnetic_tool’, ‘Dowel_pin_container’, ‘Vertical_Multi_plate_wet_clutch’, ‘Bolt_container’, ‘Piston’, ‘Gps_sensor_pin_container’, ‘Gasket_container’, ‘Oil_bin’, ‘Plier’, ‘Anabond’, ‘Gasket’, ‘Engine’, ‘Barcode_scanner’, ‘Gps_sensor_container’, ‘undefined’, ‘Spring_container’, ‘GPS_Sensor’]
Use the annotation tool: labelImg
Labeling rules: draw horizontal rectangles for categories
Picture example:
If you have any questions or need the full code or data or need customized development requirements, you can contact me Email Mail me : slowlon@foxmail.com