Dataset Versions

v3

2024-11-13 7:19am

Generated on Nov 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.
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Dataset Split

Train Set 86%
18433Images
Valid Set 8%
1791Images
Test Set 5%
1088Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require at least 32% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Grayscale: Apply to 5% of images
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Brightness: Between -5% and +5%
Bounding Box: Exposure: Between -5% and +5%

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