Dataset Versions

v8

2024-04-16 8:51pm

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 92%
31302Images
Valid Set 5%
1782Images
Test Set 3%
1017Images

Preprocessing

Auto-Orient: Applied
Static Crop: 30-70% Horizontal Region, 30-70% Vertical Region
Resize: Stretch to 1280x720
Tile: 3 rows x 3 columns

Augmentations

Outputs per training example: 5
Grayscale: Apply to 10% of images
Saturation: Between -15% and +15%
Brightness: Between -10% and +10%

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