Dataset Versions

v10

2024-05-23 6:19pm

Generated on May 23, 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 93%
1203Images
Valid Set 4%
51Images
Test Set 3%
33Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -5° and +5°
Grayscale: Apply to 10% of images
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -5% and +5%
Blur: Up to 0.3px
Noise: Up to 0.3% of pixels

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