Dataset Versions

v5

2023-01-13 6:14pm

Generated on Jan 13, 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 85%
3219Images
Valid Set 10%
376Images
Test Set 5%
174Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -4° and +4°
Shear: ±5° Horizontal, ±6° Vertical
Exposure: Between -25% and +25%
Blur: Up to 1.5px
Noise: Up to 3% of pixels
Bounding Box: Rotation: Between -6° and +6°
Bounding Box: Shear: ±5° Horizontal, ±4° Vertical
Bounding Box: Exposure: Between -6% and +6%
Bounding Box: Noise: Up to 1% of pixels

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