Dataset Versions

v5

2023-05-04 4:47am

Generated on May 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.
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Dataset Split

Train Set 82%
2494Images
Valid Set 12%
356Images
Test Set 6%
183Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Fit within 640x640
Modify Classes: 0 remapped, 1 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 2
Rotation: Between -19° and +19°
Grayscale: Apply to 10% of images
Noise: Up to 1% of pixels

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