Dataset Versions

v2

augmented input

Generated on May 15, 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 88%
237Images
Valid Set 7%
20Images
Test Set 4%
12Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 320x320
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -20° and +20°
Shear: ±25° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Cutout: 5 boxes with 10% size each

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