Dataset Versions

v16

2023-08-30 6:34pm

Generated on Aug 30, 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 92%
12768Images
Valid Set 8%
1058Images
Test Set 0%
11Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Modify Classes: 0 remapped, 3 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 6% Maximum Zoom
Rotation: Between -30° and +30°
Exposure: Between -20% and +20%
Blur: Up to 4px
Noise: Up to 10% of pixels
Cutout: 20 boxes with 15% size each

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