Dataset Versions

v5

2023-06-04 9:09am

Generated on Jun 4, 2023

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 82%
9226Images
Valid Set 12%
1397Images
Test Set 6%
680Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 192 remapped, 104 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 2
Grayscale: Apply to 5% of images
Saturation: Between -24% and +24%
Exposure: Between -25% and +25%
Noise: Up to 2% of pixels
Bounding Box: Exposure: Between -22% and +22%

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