Dataset Versions

v2

2024-09-13 4:05am

Generated on Sep 13, 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.
Other Formats
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Dataset Split

Train Set 90%
869Images
Valid Set 7%
69Images
Test Set 3%
29Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Fit within 640x640

Augmentations

Outputs per training example: 3
Grayscale: Apply to 15% of images
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Blur: Up to 2.5px

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