Dataset Versions

v2

2023-11-07 10:51am

Generated on Nov 7, 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 90%
7602Images
Valid Set 6%
518Images
Test Set 4%
320Images

Preprocessing

Isolate Objects: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Modify Classes: 2 remapped, 2 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Hue: Between -45° and +45°
Noise: Up to 2% of pixels
Cutout: 6 boxes with 4% size each
Bounding Box: Rotation: Between -8° and +8°
Bounding Box: Brightness: Between -9% and +9%
Bounding Box: Blur: Up to 1.25px