Dataset Versions

v2

2024-02-28 11:14pm

Generated on Feb 29, 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 91%
4681Images
Valid Set 8%
392Images
Test Set 2%
97Images

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
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels