Dataset Versions

v4

v4 480x480 less changes

Generated on Apr 5, 2022

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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 87%
4326Images
Valid Set 8%
411Images
Test Set 4%
209Images

Preprocessing

Resize: Stretch to 480x480

Augmentations

Outputs per training example: 3
Rotation: Between -45° and +45°
Brightness: Between -18% and +18%
Mosaic: Applied
Bounding Box: Noise: Up to 2% of pixels

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