Dataset Versions

v1

2024-12-26 11:33am

Generated on Dec 26, 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 82%
11044Images
Valid Set 12%
1577Images
Test Set 6%
789Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 2
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 15% of images
Hue: Between -60° and +60°
Brightness: Between -20% and +20%
Bounding Box: Flip: Horizontal, Vertical

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