Dataset Versions

v20

20

Generated on Jul 12, 2022

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 89%
219Images
Valid Set 8%
20Images
Test Set 3%
8Images

Preprocessing

Resize: Fit (black edges) in 640x640
Filter Null: Require at least 80% of images to contain annotations.

Augmentations

Outputs per training example: 3
Grayscale: Apply to 30% of images
Hue: Between -25° and +25°
Cutout: 3 boxes with 10% size each

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