Dataset Versions

v1

2023-05-22 3:47am

Generated on May 22, 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 93%
1155Images
Valid Set 7%
86Images
Test Set %
0Images

Preprocessing

Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Rotation: Between -3° and +3°
Shear: ±3° Horizontal, ±3° Vertical
Saturation: Between -12% and +12%
Blur: Up to 1.25px
Noise: Up to 2% of pixels