Dataset Versions

v3

2024-02-21 12:16pm

Generated on Feb 21, 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 87%
3230Images
Valid Set 8%
310Images
Test Set 4%
154Images

Preprocessing

Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require at least 80% of images to contain annotations.

Augmentations

Outputs per training example: 3
Bounding Box: Flip: Horizontal
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical