Dataset Versions

v10

2022-07-26 10:16am

Generated on Jul 26, 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 87%
1398Images
Valid Set 9%
137Images
Test Set 4%
70Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 416x416
Grayscale: Applied
Filter Null: Require at least 5% of images to contain annotations.

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 1% Maximum Zoom
Brightness: Between -35% and +35%
Blur: Up to 1.5px
Noise: Up to 20% of pixels
Cutout: 25 boxes with 2% size each

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