Dataset Versions

v1

2024-06-18 3:01am

Generated on Jun 18, 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.
Other Formats
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Dataset Split

Train Set 90%
591Images
Valid Set 7%
44Images
Test Set 3%
22Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -30° and +30°
Saturation: Between -40% and +40%
Brightness: Between -30% and +30%
Exposure: Between -25% and +25%
Blur: Up to 1px
Noise: Up to 0.85% of pixels

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