Dataset Versions

v3

2024-12-15 11:30pm

Generated on Dec 15, 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 84%
736Images
Valid Set 11%
100Images
Test Set 5%
40Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 4
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Brightness: Between -21% and +21%
Exposure: Between -14% and +14%
Noise: Up to 0.1% of pixels

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