Dataset Versions

v5

2024-04-10 5:31pm

Generated on Apr 10, 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 91%
15558Images
Valid Set 6%
1090Images
Test Set 3%
428Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Grayscale: Apply to 16% of images
Saturation: Between -20% and +20%
Brightness: Between -15% and +15%
Noise: Up to 0.1% of pixels

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