Dataset Versions

v6

2023-02-28 3:00am

Generated on Feb 28, 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%
2274Images
Valid Set 8%
216Images
Test Set 4%
112Images

Preprocessing

Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require at least 70% of images to contain annotations.

Augmentations

Outputs per training example: 3
Noise: Up to 5% of pixels
Bounding Box: Exposure: Between -25% and +25%