Dataset Versions

v1

Augmented

Generated on Mar 12, 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 82%
25364Images
Valid Set 12%
3558Images
Test Set 6%
1841Images

Preprocessing

Tile: 2 rows x 2 columns
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 2
Rotation: Between -5° and +5°
Saturation: Between -5% and +5%
Exposure: Between -5% and +5%
Blur: Up to 1.5px
Noise: Up to 3% of pixels