Dataset Versions

v3

dataset_version_3

Generated on Aug 15, 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 82%
1118Images
Valid Set 11%
156Images
Test Set 6%
84Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 512x416

Augmentations

Outputs per training example: 2
Flip: Vertical
Crop: 27% Minimum Zoom, 60% Maximum Zoom
Rotation: Between -30° and +30°
Brightness: Between -40% and +40%
Blur: Up to 2.75px
Noise: Up to 4% of pixels
Cutout: 10 boxes with 10% size each