Dataset Versions

v5

2022-04-22 8:16pm

Generated on Apr 22, 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%
684Images
Valid Set 4%
28Images
Test Set 4%
30Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±6° Horizontal, ±8° Vertical
Saturation: Between -15% and +15%
Brightness: Between -15% and +15%
Exposure: Between -16% and +16%
Blur: Up to 0.25px
Noise: Up to 1% of pixels
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Rotation: Between -10° and +10°

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