Dataset Versions

v9

Multi_SP_2382

Generated on Mar 15, 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 70%
1659Images
Valid Set 20%
470Images
Test Set 11%
253Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require at least 92% of images to contain annotations.

Augmentations

Outputs per training example: 3
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px

Similar Projects

See More
3.5k images 1 model