Dataset Versions

v2

ssd-300

Generated on Dec 1, 2021

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.
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Dataset Split

Train Set 87%
1860Images
Valid Set 8%
177Images
Test Set 4%
89Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 300x300
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal
Shear: ±15° Horizontal, ±15° Vertical
Blur: Up to 10px
Noise: Up to 5% of pixels