Dataset Versions

v7

v7

Generated on Dec 11, 2021

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 88%
8064Images
Valid Set 8%
768Images
Test Set 4%
384Images

Preprocessing

Grayscale: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 8 rows x 8 columns

Augmentations

Outputs per training example: 3
Grayscale: Apply to 25% of images
Mosaic: Applied
Bounding Box: Flip: Horizontal
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Noise: Up to 5% of pixels