Dataset Versions

v20

2024-06-28 10:28am

Generated on Jun 28, 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.
Other Formats
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Dataset Split

Train Set 81%
900Images
Valid Set 18%
200Images
Test Set 1%
10Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 800x800
Grayscale: Applied
Modify Classes: 0 remapped, 12 dropped
Filter Null: Require at least 1% of images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -3° and +3°
Brightness: Between -25% and +25%
Exposure: Between -2% and +2%
Blur: Up to 0.1px
Noise: Up to 0.1% of pixels

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