Dataset Versions

v2

2023-01-03 1:32am

Generated on Jan 3, 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 87%
492Images
Valid Set 8%
45Images
Test Set 5%
28Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x740

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Shear: ±19° Horizontal, ±18° Vertical
Grayscale: Apply to 12% of images
Blur: Up to 3px
Noise: Up to 3% of pixels
Mosaic: Applied
Bounding Box: Brightness: Between -25% and +25%

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