TrafficSigns: [object detection] Identify road markings (open source dataset)

[Christiaan1990]

Goal:

Create an object detection for road markings based on YOLOv3 or SlimYOLOv3 algorithm

Assigments:

• define which road markings are required for the carolaCup
• check if a dataset already exists that fullfills the requirements (see notes)
• select a dataset, and check the quality of it (balance of labels by histogram)
• train the neural network
  • documentation in the TUM-Wiki where the additional dataset is stored, what it contains, and the histogram: https://wiki.tum.de/display/phoenix/Machine+Learning

Notes:

• external dataset: http://www.ananth.in/RoadMarkingDetection.html

[MaslinuPoimal]

Note: There are segmentation datasets that contain those traffic marks as additional data. BDD contains a lot of traffic-related information.