Dataset Versions

v5

2024-07-15 4:27am

Generated on Jul 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 92%
38880Images
Valid Set 5%
2208Images
Test Set 3%
1108Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Histogram Equalization
Filter Null: Require at least 50% of images to contain annotations.

Augmentations

Outputs per training example: 5
Exposure: Between -10% and +10%
Blur: Up to 2px