Dataset Versions

v2

2023-11-23 11:56am

Generated on Nov 23, 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 89%
39Images
Valid Set 7%
3Images
Test Set 5%
2Images

Preprocessing

Auto-Orient: Applied
Static Crop: 14-75% Horizontal Region, 14-75% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Exposure: Between -25% and +25%
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom

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