Dataset Versions

v10

2022-07-01 5:41pm

Generated on Jul 1, 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 87%
12733Images
Valid Set 9%
1298Images
Test Set 5%
670Images

Preprocessing

Auto-Orient: Applied
Grayscale: Applied
Tile: 2 rows x 2 columns
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Grayscale: Apply to 33% of images
Saturation: Between -33% and +33%
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Exposure: Between -33% and +33%