Dataset Versions

v1

2022-01-19 11:50am

Generated on Jan 19, 2022

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 94%
2187Images
Valid Set 6%
129Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Grayscale: Apply to 51% of images
Brightness: Between -40% and +40%
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical

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