Dataset Versions

v17

2023-12-02 10:15pm

Generated on Dec 3, 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 91%
9597Images
Valid Set 5%
546Images
Test Set 4%
425Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1280x1280
Auto-Adjust Contrast: Using Adaptive Equalization
Modify Classes: 26 remapped, 40 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Brightness: Between -25% and +25%
Blur: Up to 1px
Noise: Up to 3% of pixels