Dataset Versions

v4

2023-05-29 4:54pm

Generated on May 29, 2023

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 89%
10648Images
Valid Set 6%
661Images
Test Set 5%
634Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1940x1940
Tile: 2 rows x 2 columns
Modify Classes: 4 remapped, 0 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Mosaic: Applied
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Exposure: Between -25% and +25%