Dataset Versions

v1

2024-07-01 7:57am

Generated on Jul 1, 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.
Other Formats
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Dataset Split

Train Set 93%
258Images
Valid Set 6%
16Images
Test Set 1%
2Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 10% of images
Hue: Between -22° and +22°
Saturation: Between -30% and +30%
Brightness: Between -23% and +23%
Exposure: Between -12% and +12%
Blur: Up to 2px
Noise: Up to 1.92% of pixels
Cutout: 25 boxes with 1% size each
Mosaic: Applied