Dataset Versions

v2

2024-08-21 9:29am

Generated on Aug 21, 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 89%
1647Images
Valid Set 7%
128Images
Test Set 4%
73Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 320x320

Augmentations

Outputs per training example: 3
Hue: Between -15° and +15°
Saturation: Between -20% and +20%
Brightness: Between -15% and +15%
Exposure: Between -7% and +7%
Blur: Up to 0.8px
Noise: Up to 0.3% of pixels

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