Dataset Versions

v1

800-2vr

Generated on Jun 2, 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 92%
45766Images
Valid Set 8%
3765Images
Test Set 1%
294Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 800x800
Auto-Adjust Contrast: Using Contrast Stretching
Filter Null: Require at least 25% of images to contain annotations.

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 4% Minimum Zoom, 56% Maximum Zoom

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