Dataset Versions

v1

2023-06-17 9:39pm

Generated on Jun 17, 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.
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Dataset Split

Train Set 87%
3021Images
Valid Set 8%
285Images
Test Set 4%
154Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -6° and +6°
Brightness: Between -50% and +50%
Exposure: Between -25% and +25%
Noise: Up to 7% of pixels
Bounding Box: Brightness: Between -50% and +50%

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