Task
There was not enough data with the right set of classes to train a road sign detector. Open datasets did not fit in labeling or in the set of signs.
Solution
I collected and labeled a road sign dataset, selected the images, brought them to one format and annotated them by class. The structure fits a standard training pipeline, so the data works without relabeling.
What was done
- Collected and selected road sign images for the required classes
- Brought the images to one format
- Annotated the images by class
- Organized the structure for a standard training pipeline
- Trained a semi-automatic labeling tool
- Doubled the dataset with the labeling tool
- Post-processed the data and handed it over to the client
Result
A ready dataset that a sign detector trains on right away. The set of classes grows as needed. An autopilot trained on this dataset won competitions. Links to them are below.
Technologies
Computer VisionDataset
