Dataset Versions

v2

2023-05-22 1:45pm

Generated on May 22, 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 88%
1125Images
Valid Set 8%
107Images
Test Set 4%
53Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Shear: ±15° Horizontal, ±40° Vertical
Grayscale: Apply to 51% of images
Hue: Between -180° and +180°
Brightness: Between -32% and +32%
Bounding Box: Blur: Up to 8px

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