Dataset Versions

v2

2024-05-07 6:56pm

Generated on May 7, 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 87%
4593Images
Valid Set 8%
441Images
Test Set 4%
219Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Grayscale: Apply to 100% of images
Hue: Between -75° and +75°
Saturation: Between -75% and +75%
Brightness: Between -25% and +0%
Blur: Up to 1.3px

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