Dataset Versions

v2

2022-11-14 10:46am

Generated on Nov 14, 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 87%
1950Images
Valid Set 8%
185Images
Test Set 4%
99Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -13° and +13°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 30% of images
Noise: Up to 10% of pixels
Mosaic: Applied
Bounding Box: Crop: 0% Minimum Zoom, 60% Maximum Zoom

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