Dataset Versions

v3

2024-06-17 6:19pm

Generated on Jun 17, 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.
Other Formats
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Dataset Split

Train Set 96%
99984Images
Valid Set 3%
3561Images
Test Set 0%
189Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 800x800
Auto-Adjust Contrast: Using Contrast Stretching
Filter Null: Require at least 25% of images to contain annotations.

Augmentations

Outputs per training example: 4
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -15° and +15°