Dataset Versions

v11

2024-02-20 10:37am

Generated on Feb 20, 2024

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 83%
165Images
Valid Set 15%
29Images
Test Set 2%
4Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±14° Horizontal, ±15° Vertical
Grayscale: Apply to 24% of images
Hue: Between -23° and +23°
Saturation: Between -25% and +25%
Brightness: Between -23% and +23%
Exposure: Between -15% and +15%
Blur: Up to 4.8px
Noise: Up to 1.76% of pixels