This challenge was designed specifically for the AI Tunisia Hack 2019, which takes place from 20 to 22 September. Welcome to the AI Tunisia Hack participants!
After AI Hack Tunisia, this competition will be re-opened as a Knowledge Challenge to allow others in the Zindi community to learn and test their skills.
Vehicle License plate detection and recognition is a well-known challenge that has been tackled by many computer-vision labs and companies. However, each country has its own specific license plate formats. This challenge is targeting regular Tunisian license plates. The data provided for this challenge is composed of two datasets:
This challenge was designed by InstaDeep in Tunisia in partnership with the National Road Safety Observatory of Tunisia, specifically for the AI-Hack-Tunisia 2019 hackathon.
The objective of this challenge is to detect the vehicle’s license plates then recognize the characters in each license plate. The solution will then be used to detect vehicle license plates in traffic cameras.
To read more about the National Road Safety Observatory of Tunisia, please visit http://www.onsr.tn/
About InstaDeep (https://www.instadeep.com/)
InstaDeep delivers AI-powered decision-making systems for the Enterprise. With expertise in both machine intelligence research and concrete business deployments, we provide a competitive advantage to our customers in an AI-first world. As one of the leading AI companies in Africa, InstaDeep knows first-hand what African talent is truly capable of.
InstaDeep has more than 70 employees spread across its headquarters in London, and offices in Paris, Tunis, Nairobi, and Lagos. In addition to its connections to African educational institutions, the company also possesses strong ties to elite French schools and top-rated universities in the UK.
About AI Hack Tunisia (www.ai-hack-tunisia.com)
The AI Hack Tunisia 2019 is the biggest ML/AI Hackathon ever in Tunisia, Africa, and the Middle East North Africa (MENA) region. It takes place on 20-22 September. The event is a double hackathon: the first part is an individual Machine Learning Challenge, and the second part is a group (or as we like to say, startup) competition focused on a specific technology.
With mentors, judges, and competitors from all over the world, it’s going to be a blast!