Dataset Versions

v1

2023-10-31 9:05pm

Generated on Nov 1, 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 86%
4060Images
Valid Set 11%
534Images
Test Set 3%
140Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 2
Rotation: Between -17° and +17°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -59% and +59%
Brightness: Between -32% and +32%
Exposure: Between -22% and +22%

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