Dataset Versions

v2

416-set

Generated on Apr 29, 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%
1887Images
Valid Set 6%
111Images
Test Set %
0Images

Preprocessing

Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -20° and +20°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -19% and +19%
Brightness: Between -50% and +50%
Exposure: Between -23% and +23%
Blur: Up to 2.25px
Noise: Up to 1% of pixels