Dataset Versions

v1

2024-05-06 12:06am

Generated on May 5, 2024

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 75%
438Images
Valid Set 17%
99Images
Test Set 9%
50Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1000x1000

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 32% Maximum Zoom
Hue: Between -25° and +25°
Saturation: Between -52% and +52%
Exposure: Between -25% and +25%
Blur: Up to 1.7px
Noise: Up to 5.01% of pixels

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