Dataset Versions

v1

2024-08-12 4:35am

Generated on Aug 12, 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%
21Images
Valid Set 8%
2Images
Test Set 4%
1Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 270x480
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -7° and +7°
Saturation: Between -51% and +51%
Brightness: Between -15% and +15%
Blur: Up to 0.8px

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