Dataset Versions

v2

2023-05-07 3:34am

Generated on May 7, 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%
5826Images
Valid Set 8%
553Images
Test Set 4%
283Images

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 -25% and +25%
Noise: Up to 10% of pixels
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Brightness: Between -35% and +35%
Bounding Box: Blur: Up to 1px