Dataset Versions

v5

2023-11-09 12:45pm

Generated on Nov 9, 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.
Other Formats
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Dataset Split

Train Set 95%
390Images
Valid Set 4%
15Images
Test Set 1%
6Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 10
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -30° and +30°
Grayscale: Apply to 30% of images
Hue: Between -30° and +30°
Brightness: Between -35% and +35%
Exposure: Between -30% and +30%
Blur: Up to 3px

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