Dataset Versions

v7

2024-12-17 12:23pm

Generated on Dec 17, 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 95%
9117Images
Valid Set 4%
347Images
Test Set 2%
158Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -5° and +5°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 10% of images
Hue: Between -15° and +15°
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%
Blur: Up to 1.2px
Noise: Up to 0.18% of pixels

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