Dataset Versions

v2

2023-01-05 11:10am

Generated on Jan 5, 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.
Other Formats
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Dataset Split

Train Set 91%
1263Images
Valid Set 6%
88Images
Test Set 3%
42Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Noise: Up to 25% of pixels
Bounding Box: Crop: 0% Minimum Zoom, 40% Maximum Zoom
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Brightness: Between -30% and +30%
Bounding Box: Exposure: Between -40% and +40%
Bounding Box: Blur: Up to 25px
Bounding Box: Noise: Up to 25% of pixels

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