Dataset Versions

v7

2024-04-05 4:00pm

Generated on Apr 5, 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.
Other Formats
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Dataset Split

Train Set 88%
467Images
Valid Set 8%
43Images
Test Set 4%
23Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Tile: 1 rows x 2 columns
Filter Null: Require at least 95% of images to contain annotations.

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -5° and +5°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%
Noise: Up to 0.54% of pixels