Dataset Versions

v4

2022-05-18 11:38am

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%
11780Images
Valid Set 18%
3011Images
Test Set 9%
1527Images

Preprocessing

Resize: Stretch to 800x800
Tile: 2 rows x 2 columns
Modify Classes: 0 remapped, 4 dropped
Filter Null: Require at least 96% of images to contain annotations.

Augmentations

Outputs per training example: 1
Saturation: Between -40% and +40%
Brightness: Between -30% and +30%
Bounding Box: Exposure: Between -29% and +29%