Dataset Versions

v10

2024-07-17 7:31pm

Generated on Jul 17, 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 92%
19719Images
Valid Set 7%
1553Images
Test Set 1%
215Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 720x720

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 10% of images
Hue: Between -25° and +25°
Saturation: Between -22% and +22%
Exposure: Between -14% and +14%
Blur: Up to 1px
Noise: Up to 1.25% of pixels

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