Dataset Versions

v7

2024-05-24 5:33am

Generated on May 24, 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 89%
21360Images
Valid Set 7%
1615Images
Test Set 4%
987Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -5° and +5°
Hue: Between -5° and +5°
Saturation: Between -5% and +5%
Brightness: Between -5% and +5%
Noise: Up to 0.99% of pixels

Similar Projects

See More