Dataset Versions

v1

2022-11-25 11:22pm

Generated on Nov 25, 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 88%
10500Images
Valid Set 8%
1000Images
Test Set 4%
500Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -6° and +6°
Saturation: Between -30% and +30%
Brightness: Between -25% and +25%
Blur: Up to 2.5px
Bounding Box: Noise: Up to 5% of pixels