Dataset Versions

v1

2023-05-29 6:35pm

Generated on May 29, 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 93%
4920Images
Valid Set 6%
300Images
Test Set 2%
88Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Modify Classes: 4 remapped, 0 dropped
Filter Null: Require at least 50% of images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -17° and +17°
Blur: Up to 1.25px
Cutout: 3 boxes with 23% size each
Bounding Box: Shear: ±14° Horizontal, ±14° Vertical