Dataset Versions

v5

2024-02-09 11:19am

Generated on Feb 9, 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 88%
6189Images
Valid Set 8%
565Images
Test Set 4%
295Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 320x320
Filter Null: Require at least 81% of images to contain annotations.

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -8° and +8°
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 1px

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