Dataset Versions

v13

2024-08-13 9:47am

Generated on Aug 13, 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 89%
5516Images
Valid Set 7%
429Images
Test Set 4%
222Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 480x480
Modify Classes: 0 remapped, 2 dropped
Filter Null: Require at least 95% of images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -3° and +3°
Grayscale: Apply to 2% of images
Hue: Between -5° and +5°
Brightness: Between -12% and +12%
Exposure: Between -9% and +9%
Noise: Up to 0.53% of pixels