Dataset Versions

v3

2024-11-06 12:00pm

Generated on Nov 6, 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 86%
6678Images
Valid Set 10%
791Images
Test Set 4%
327Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Grayscale: Apply to 17% of images
Saturation: Between -24% and +24%
Noise: Up to 0.69% of pixels
Bounding Box: Flip: Horizontal

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