Dataset Versions

v3

2022-10-06 5:32pm

Generated on Oct 6, 2022

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 95%
7521Images
Valid Set 4%
304Images
Test Set 1%
85Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Modify Classes: 3 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Saturation: Between -30% and +30%
Brightness: Between -25% and +25%
Blur: Up to 4.75px
Noise: Up to 9% of pixels
Bounding Box: Flip: Horizontal