Dataset Versions

v10

V1.0

Generated on Nov 28, 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.
Other Formats
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Dataset Split

Train Set 95%
705Images
Valid Set 4%
27Images
Test Set 2%
14Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1000x1000
Modify Classes: 5 remapped, 5 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -2° and +2°
Shear: ±2° Horizontal, ±2° Vertical
Hue: Between -10° and +10°
Saturation: Between -5% and +5%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2px
Noise: Up to 0.3% of pixels

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