Dataset Versions

v1

2023-06-29 4:44pm

Generated on Jun 29, 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.
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Dataset Split

Train Set 89%
6576Images
Valid Set 7%
550Images
Test Set 4%
304Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 2048x1280

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 12% Maximum Zoom
Rotation: Between -5° and +5°
Shear: ±12° Horizontal, ±8° Vertical
Grayscale: Apply to 1% of images
Hue: Between -25° and +25°
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 0.5px
Noise: Up to 1% of pixels
Bounding Box: Brightness: Between -6% and +6%

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