Dataset Versions

v2

2022-05-15 4:26pm

Generated on May 15, 2022

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 85%
4563Images
Valid Set 10%
526Images
Test Set 5%
284Images

Preprocessing

Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns
Modify Classes: 0 remapped, 0 dropped
Filter Null: Require at least 90% of images to contain annotations.

Augmentations

Outputs per training example: 3
Blur: Up to 1.25px