Dataset Versions

v7

2024-05-17 9:36am

Generated on May 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.
Other Formats
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Dataset Split

Train Set 88%
1011Images
Valid Set 8%
94Images
Test Set 4%
48Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 650x650
Grayscale: Applied
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -15° and +15°
Brightness: Between -20% and +20%
Noise: Up to 1.97% of pixels

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