Dataset Versions

v4

2024-06-11 9:13am

Generated on Jun 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 90%
255Images
Valid Set 10%
29Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 27% Maximum Zoom
Rotation: Between -12° and +12°
Shear: ±4° Horizontal, ±5° Vertical
Grayscale: Apply to 100% of images
Saturation: Between -48% and +48%
Brightness: Between -24% and +24%
Blur: Up to 0.5px

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