Dataset Versions

v8

2024-12-15 3:53pm

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 88%
315Images
Valid Set 8%
30Images
Test Set 4%
15Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -8° and +8°
Shear: ±9° Horizontal, ±9° Vertical
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Noise: Up to 1.97% of pixels

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