Dataset Versions

v1

2023-10-10 7:14pm

Generated on Oct 11, 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%
4059Images
Valid Set 4%
182Images
Test Set 4%
180Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 1 remapped, 1 dropped
Filter Null: Require at least 60% of images to contain annotations.

Augmentations

Outputs per training example: 3
Brightness: Between -36% and +36%
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise