Dataset Versions

v13

2022-05-03 11:11pm

Generated on May 3, 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 92%
960Images
Valid Set %
0Images
Test Set 8%
81Images

Preprocessing

Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 320x320

Augmentations

Outputs per training example: 3
Rotation: Between -8° and +8°
Saturation: Between -40% and +40%
Brightness: Between -15% and +15%
Noise: Up to 2% of pixels
Cutout: 4 boxes with 4% size each
Bounding Box: Flip: Horizontal

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