Dataset Versions

v4

2023-07-18 8:43pm

Generated on Jul 18, 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 89%
10581Images
Valid Set 8%
972Images
Test Set 3%
402Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 3 remapped, 2 dropped

Augmentations

Outputs per training example: 3
90° Rotate: Counter-Clockwise
Rotation: Between -45° and +45°
Shear: ±45° Horizontal, ±45° Vertical
Brightness: Between -25% and +25%
Exposure: Between -20% and +20%
Blur: Up to 2.5px
Cutout: 3 boxes with 15% size each