Dataset Versions

v3

2023-09-28 9:30am

Generated on Sep 28, 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 87%
351Images
Valid Set 9%
37Images
Test Set 4%
15Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -25° and +25°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 10% of images
Hue: Between -25° and +25°
Exposure: Between -25% and +25%
Noise: Up to 5% of pixels
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Noise: Up to 5% of pixels