Dataset Versions

v10

12th-Iteration-1280

Generated on Sep 17, 2024

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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 88%
5139Images
Valid Set 8%
492Images
Test Set 4%
239Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1280x1280
Filter by Tag: 0 required, 2 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Brightness: Between -18% and +18%
Exposure: Between -15% and +15%
Noise: Up to 0.18% of pixels

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