Dataset Versions

v2

2023-02-22 1:05am

Generated on Feb 21, 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 92%
5162Images
Valid Set 4%
220Images
Test Set 4%
226Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1080x1080
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Tile: 5 rows x 5 columns
Filter Null: Require at least 50% of images to contain annotations.

Augmentations

Outputs per training example: 3
Brightness: Between 0% and +99%
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down