Dataset Versions

v7

2024-04-11 11:28pm

Generated on Apr 11, 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 78%
2067Images
Valid Set 18%
475Images
Test Set 3%
92Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1280x1280

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 5% Maximum Zoom
Grayscale: Apply to 10% of images
Saturation: Between -20% and +20%
Brightness: Between -15% and +15%
Exposure: Between -7% and +7%
Noise: Up to 0.18% of pixels

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