kosche
Joined 6 years ago
Karma
25
Submissions
14
Member since
Mar 17
Recent submissions
Comment · 6 years ago
We had/have this problem too. If nn "sees" unknown model it tries to classify it as one of known models. To avoid this, we added 'Other/Other' bucket and put ~3k images of different cars/buses/trucks in there. Now unknown models in most cases are classified as 'Other/Other' label.
Comment · 6 years ago
I see. Sounds pretty similar to what we do.
Comment · 6 years ago
Yes. We thought about using car's value for quests/achievements. Haven't find reliable source for pricing data yet.
Current concept idea is very similar to one you suggested. Every car is assigned with some amount of points based on car's rarity. Player is then tasked to find certain models and get points for that.
We are thinking about adding 'social' element at some point: function to share car photos comment/react on them
Comment · 6 years ago
ha! Interesting. Did you train model yourself or find some ready available?
BTW we also have an API for car's make/model/years/color/angle recognition. We can share API key for that if you'd like: https://carnet.ai
Comment · 6 years ago
Thank you! :)
Comment · 6 years ago
Yes, you a right. We think about this direction. Here is another video which shows how this can be used for 'quick cars search'
Comment · 6 years ago
There are two main sources: used car sites and youtube. Used car sites have ads classified across make/model hierarchy already - you just need to filter away unsuitable photos - this task can be automated. And youtube is good for new models. We do some hand-classification as well, but only for rare cars, where images are not easy to find.
Comment · 6 years ago
Yes. I thought about that too. Totally agree, timing is not 'perfect' :(, but could not just wait.
Comment · 6 years ago
That is an interesting idea :)
Comment · 6 years ago
Hi jermaustin1!
Not exactly, we don't use users' data to extend dataset. Photos made by users are labeled (classified) by existing nn, and you don't want to use results produces by nn to retrain same nn.
Currently we have points, achievements for unique cars, some useful info, like prices of the cars. But we are constantly thinking what to add more.
Comment · 6 years ago
Hi guys,
I want to share a project me and couple more guys were working on last year - Car Hunters. Essentially we built a mobile game using Computer Vision and AI.
Some problems we had to solve while working on Car Hunters:
- we collected a pretty solid dataset of car images (~3mil photos so far). For that we built own software, which helps us to support car models hierarchy, maintain links, retrain recognition models and deliver recognition model-binaries to the end-user devices;
- make/model recognition is done on the end-user device and both android/iOS platforms run neural network inference on GPU;
- we built-in pretty fast and reliable object-tracker which is independent of platform as well.
So what is Car Hunters? We've all heard about Pokemon Go, where you hunt for virtual creatures. We offer you instead to get points and unlock achievements by searching for cars in real world!
More details and description can be found in Google Play and Apple App Store. Car Hunters is available only in 10 countries for now. Let me know if you unable to download it but would like to.
https://apps.apple.com/us/app/car-hunters-discover-cars/id14...
I would appreciate if you share Car Hunters with those, who might love cars as much as we do!
Thanks.