Dataset Versions

v1

2022-11-29 9:05am

Generated on Nov 29, 2022

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 88%
30Images
Valid Set 9%
3Images
Test Set 3%
1Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 0-100% Horizontal Region, 0-100% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -20° and +20°
Shear: ±22° Horizontal, ±22° Vertical
Grayscale: Apply to 25% of images
Blur: Up to 10.5px

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