Dataset Versions

v28

2022-05-11 9:37pm

Generated on May 11, 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 100%
1530Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 416x416
Grayscale: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -20° and +20°
Shear: ±20° Horizontal, ±20° Vertical
Brightness: Between -50% and +50%
Blur: Up to 3px
Noise: Up to 10% of pixels
Cutout: 5 boxes with 5% size each

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