Dataset Versions

v5

2024-12-23 5:02pm

Generated on Dec 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.
Other Formats
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Dataset Split

Train Set 87%
2556Images
Valid Set 8%
245Images
Test Set 4%
122Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Blur: Up to 2.5px
Noise: Up to 2% of pixels
Bounding Box: Shear: ±2° Horizontal, ±2° Vertical
Bounding Box: Brightness: Between -10% and +10%

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