Dataset Versions

v5

dab

Generated on Apr 2, 2023

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 90%
6906Images
Valid Set 8%
601Images
Test Set 2%
153Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Shear: ±27° Horizontal, ±11° Vertical
Grayscale: Apply to 16% of images
Blur: Up to 1.75px
Noise: Up to 5% of pixels
Bounding Box: Rotation: Between -30° and +30°

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