Dataset Versions

v1

2022-02-02 12:40pm

Generated on Feb 2, 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.
Other Formats
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Dataset Split

Train Set 100%
1167Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Resize: Stretch to 512x512

Augmentations

Outputs per training example: 3
Rotation: Between -20° and +20°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -40% and +40%
Exposure: Between -25% and +25%
Blur: Up to 1.25px
Noise: Up to 1% of pixels
Cutout: 4 boxes with 10% size each
Mosaic: Applied

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