Dataset Versions

v3

2023-12-06 12:30pm

Generated on Dec 6, 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 73%
27Images
Valid Set 5%
2Images
Test Set 22%
8Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Shear: ±9° Horizontal, ±9° Vertical
Grayscale: Apply to 70% of images
Exposure: Between -25% and +25%
Noise: Up to 6% of pixels
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Brightness: Between -25% and +25%

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