Dataset Versions

v13

2022-02-17 11:05pm

Generated on Feb 17, 2022

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 90%
8907Images
Valid Set 6%
595Images
Test Set 4%
395Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 416x416
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -15% and +15%
Blur: Up to 0.75px
Bounding Box: Brightness: Between 0% and +20%
Bounding Box: Exposure: Between -5% and +5%