Dataset Versions

v5

2023-12-27 12:15am

Generated on Dec 26, 2023

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 87%
3138Images
Valid Set 9%
311Images
Test Set 4%
151Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 512x512

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Shear: ±19° Horizontal, ±15° Vertical
Grayscale: Apply to 30% of images
Exposure: Between -23% and +23%
Noise: Up to 2% of pixels
Cutout: 4 boxes with 14% size each
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Noise: Up to 6% of pixels

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