Dataset Versions

v1

2024-04-17 4:30pm

Generated on Apr 17, 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 88%
63Images
Valid Set 8%
6Images
Test Set 4%
3Images

Preprocessing

Auto-Orient: Applied
Static Crop: 13-78% Horizontal Region, 5-73% Vertical Region
Resize: Fill (with center crop) in 640x640

Augmentations

Outputs per training example: 3
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%

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