Dataset Versions

v6

imageSet

Generated on Aug 5, 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.
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Dataset Split

Train Set 82%
7956Images
Valid Set 18%
1704Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 320x320
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 2
Rotation: Between -10° and +10°
Brightness: Between -15% and +15%
Noise: Up to 1% of pixels

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