Dataset Versions

v32

1_2

Generated on Jan 8, 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.
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Dataset Split

Train Set 84%
228Images
Valid Set 12%
32Images
Test Set 5%
13Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1000x600
Modify Classes: 10 remapped, 9 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 0.52% of pixels

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