Dataset Versions

v2

2023-05-02 12:13pm

Generated on May 2, 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 71%
1244Images
Valid Set 19%
341Images
Test Set 10%
175Images

Preprocessing

Auto-Orient: Applied
Tile: 2 rows x 2 columns
Filter Null: Require at least 90% of images to contain annotations.

Augmentations

Outputs per training example: 1
Shear: ±17° Horizontal, ±31° Vertical
Grayscale: Apply to 17% of images
Noise: Up to 15% of pixels
Mosaic: Applied
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical