Dataset Versions

v2

2022-08-28 5:08pm

Generated on Aug 28, 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%
5634Images
Valid Set 8%
536Images
Test Set 4%
268Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Modify Classes: 10 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Saturation: Between -50% and +50%
Brightness: Between -27% and +27%
Blur: Up to 3.25px
Cutout: 1 boxes with 20% size each
Bounding Box: Flip: Horizontal
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Blur: Up to 5px