Dataset Versions

v1

2024-06-02 1:37am

Generated on Jun 1, 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 87%
6492Images
Valid Set 8%
626Images
Test Set 4%
317Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 320x320

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Grayscale: Apply to 100% of images
Hue: Between -21° and +21°
Brightness: Between -23% and +23%
Blur: Up to 2.8px
Noise: Up to 1.95% of pixels