Dataset Versions

v5

Finale

Generated on Jun 19, 2022

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%
141Images
Valid Set 12%
20Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 416x416
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -11° and +11°
Brightness: Between -33% and +33%
Noise: Up to 2% of pixels
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical
Bounding Box: Exposure: Between -25% and +25%

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