Mapillary is a street-level imagery platform for generating map data at scale through collaboration and computer vision. Mapillary’s technology allows users to upload pictures in a device-agnostic way and generate map data anywhere. Unlike many other players, Mapillary doesn’t need expensive survey vehicles with special gear to achieve quality data. Mapillary has been investing the resources into developing computer vision algorithms, which are capable of of handling data from such a range of different sensors and compensate for any shortcomings of consumer-grade devices. Additionally, it is estimated that there will be 45 billion cameras by 2022, which could fuel the data capturing process further.
Mapillary has a strong network of contributors who want to make the world accessible to everyone by creating a virtual representation of the world. Anybody can join the community and collect street level photos by using simple devices like smartphones or action cameras. This means individuals as well as companies, governments, and NGOs. Recently, facilitating Microsoft’s upload of millions of images quickly, Mapillary’s technology helped with disaster recovery for hurricanes in Florida and Houston. Currently, Mapillary has more than 260M images uploaded, 4M km mapped, 190 countries covered and 22B+ objects recognized with computer vision.
Last May, the company released the Mapillary Vistas Dataset, the world’s largest street-level imagery dataset for teaching machines to see. The dataset includes 25K high resolution images, 100 object categories with global geographic reach under highly variable weather conditions. For autonomous driving, this means that cars will be able to better recognize their surroundings in different street scenes, which in turn helps improve safety. By using this training data and developing new approaches in computer vision research, Mapillary has the best results in semantic segmentation of street scenes, based on two renowned benchmarks.
We believe that there is a strong data network effect for Mapillary’s business. More engagement from community results in more engagement from customers, who contribute images, too. This is further catalyzed by improving computer vision algorithms, developed by Mapillary’s high-caliber research team. As a result, community members and customers extract more value in return and this drives further growth.
Given the challenges we’ve highlighted above, we believe just like Mapillary that there is a need for an independent provider of street-level imagery and map data, which could act as a sharing platform among different players as well. We believe that sharing data is crucial for accurate maps and safer autonomous vehicles as no single player has the necessary deployment in place to ensure this. We are convinced that any company should have access to most accurate map data, and the safety of AV passengers shouldn’t be a differentiator. With the world-class team, passionate community, and unique capabilities, Mapillary is well positioned to address the challenges and help make AV a reality. We couldn’t be more excited to lead this round of investment, and join Atomico, Sequoia and LDV, along with the new investors Navinfo and Samsung to shape the future of mapping!
Baris is an engineer with work experiences in venture capital and top-tier investment banking. At BMW i Ventures, Baris's investing scope encompasses a variety of areas, including industry 4.0, autonomous driving, mobility, AI, digital car/ cloud, customer digital life and energy services. Baris holds a Master of Engineering and Technology Management from Duke University along with an MBA (Dean's Fellow) from UNC Kenan-Flagler Business School, where he led VCIC, the world's largest venture capital competition. Please feel free to reach out on firstname.lastname@example.org.