Dataset Versions

v2

2023-08-02 8:22pm

Generated on Aug 3, 2023

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 87%
1098Images
Valid Set 8%
106Images
Test Set 4%
52Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x480

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -7° and +7°
Shear: ±7° Horizontal, ±7° Vertical
Exposure: Between -13% and +13%
Blur: Up to 2.5px
Noise: Up to 2% of pixels
Bounding Box: Brightness: Between 0% and +5%