After doing Week 2, I decided to try and build a classifier to identify bike riders who pose a danger to themselves and to others on the road by speaking or texting on their phones while riding.
You can see the the Jupyter notebook here: https://github.com/vikram-s-narayan/ridingWithCellphones
The problem is that I’m not able to get more examples of distracted bike (both bicycle and motorbike) riders. My dataset consists of two classes of photos:
- “OK” riders (i.e. those who are riding without simultaneously using their phones)
- “Not OK” riders (those who are texting or speaking while riding)
Each of the classes has about 100+ photos.
My question is as under:
The accuracy is currently at 80% (please see results below). Is there any way to improve this without finding further examples of distracted riders?