Dataset format: VOC + YOLO format
Number of images: 1869 (training dataset 1411, validation set 458)
Number of annotations (number of XML files): 1869
Number of labels (number of txt files): 1869
Number of labeled categories: 15
Classes：[‘plane’, ‘baseball-diamond’, ‘bridge’, ‘ground-track-field’, ‘small-vehicle’, ‘large-vehicle’, ‘ship’, ‘tennis-court’, ‘basketball-court’, ‘storage-tank’, ‘soccer-ball-field’,’roundabout’, ‘harbor’, ‘swimming-pool’, ‘helicopter’]
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