Dataset Versions

v6

2023-12-05 9:33pm

Generated on Dec 5, 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%
1632Images
Valid Set 9%
162Images
Test Set 5%
89Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Grayscale: Apply to 25% of images
Bounding Box: Flip: Horizontal
Bounding Box: Brightness: Between -60% and +60%
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Noise: Up to 2% of pixels