Dataset Versions

v9

Augmented Version

Generated on Nov 5, 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
Choose another format.

Dataset Split

Train Set 82%
11196Images
Valid Set 15%
2000Images
Test Set 3%
399Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 224x224

Augmentations

Outputs per training example: 2
Saturation: Between -25% and +25%
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Blur: Up to 1px