Dataset Versions

v4

2024-07-21 6:54am

Generated on Jul 21, 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 93%
2259Images
Valid Set 7%
173Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Static Crop: 15-85% Horizontal Region, 15-85% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Noise: Up to 1.25% of pixels

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