Dataset Versions

v12

2023-06-16 4:12pm

Generated on Jun 16, 2023

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 82%
5016Images
Valid Set 18%
1138Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 1 remapped, 0 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -30° and +30°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 30% of images
Noise: Up to 5% of pixels
Cutout: 10 boxes with 10% size each

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