Dataset Versions

v14

600800fitWithin

Generated on Dec 2, 2023

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%
1188Images
Valid Set 8%
114Images
Test Set 4%
57Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 800x600

Augmentations

Outputs per training example: 3
Rotation: Between -10° and +10°
Grayscale: Apply to 15% of images
Saturation: Between -40% and +40%
Brightness: Between -30% and +30%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 3% of pixels