Dataset Versions

v4

2023-04-20 10:10am

Generated on Apr 20, 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 97%
4980Images
Valid Set 2%
97Images
Test Set 1%
50Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Exposure: Between -25% and +25%
Blur: Up to 2px
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Blur: Up to 2px