Dataset Versions

v3

Detection

Generated on Jul 21, 2022

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 89%
1570Images
Valid Set 7%
115Images
Test Set 4%
74Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Grayscale: Applied
Tile: 8 rows x 8 columns
Modify Classes: 0 remapped, 1 dropped
Filter Null: Require at least 95% of images to contain annotations.

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 5% Maximum Zoom
Brightness: Between -15% and +15%
Blur: Up to 1.25px
Noise: Up to 10% of pixels
Cutout: 25 boxes with 2% size each

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