Dataset Versions

v40

1_7

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 87%
650Images
Valid Set 9%
64Images
Test Set 4%
30Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1000x640
Modify Classes: 12 remapped, 12 dropped
Filter Null: Require at least 75% of 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 0.5% of pixels

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