Dataset Versions

v13

2023-04-12 2:07am

Generated on Apr 12, 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 87%
7795Images
Valid Set 8%
740Images
Test Set 4%
388Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require at least 80% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Brightness: Between -25% and +25%
Exposure: Between -30% and +30%
Blur: Up to 1px
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Blur: Up to 1.25px