Dataset Versions

v7

2024-06-04 9:25am

Generated on Jun 4, 2024

Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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Dataset Split

Train Set 69%
162Images
Valid Set 26%
61Images
Test Set 5%
12Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -45° and +45°
Grayscale: Apply to 15% of images
Noise: Up to 0.1% of pixels
Mosaic: Applied
Bounding Box: Noise: Up to 2% of pixels