Dataset Versions

v6

2022-05-19 12:28am

Generated on May 18, 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 72%
11091Images
Valid Set 18%
2815Images
Test Set 9%
1424Images

Preprocessing

Resize: Stretch to 800x800
Tile: 2 rows x 2 columns
Modify Classes: 0 remapped, 10 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 1
Rotation: Between -4° and +4°
Saturation: Between -39% and +39%
Brightness: Between -21% and +21%
Bounding Box: Exposure: Between -29% and +29%