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Udacity open-sources additional driving data
- TuringNYC 10y agoA great, widely-used, dataset that teams can benchmark against is a superb start. Kudos to Udacity on this. I'd love to have a blind test set as well that teams can test and rank against.
- mjshiggins 10y agoThere will be a blind test set for the challenge itself! Including a public leaderboard. We are asking the world to compete on building the best vision based network for predictive steering.
- olivercameron 10y agoWe have much, much more coming soon, in addition to LIDAR/radar data. You can join in with the fun here: https://udacity.com/self-driving-car https://udacity.com/self-driving-car It's worth pointing out some other awesome datasets, such as: • http://research.comma.ai http://research.comma.ai • https://devblogs.nvidia.com/parallelforall/deep-learning-self-driving-cars https://devblogs.nvidia.com/parallelforall/deep-learning-sel... • http://data.selfracingcars.com http://data.selfracingcars.com Any questions I can answer?
- deleted 10y ago[deleted]
- ingenieroariel 10y agoWhat's the datasets' license? Public Domain?
- olivercameron 10y agoMIT! https://github.com/udacity/self-driving-car/blob/master/License.txt https://github.com/udacity/self-driving-car/blob/master/Lice...
- ryanlol 10y agoMight be a good idea to mention that in the readme.md next to the datasets since they're hosted separately. The wording of the MIT license doesn't really help avoid confusion here. edit: or in the .tar with the dataset
- cletus 10y agoPublic domain isn't a license. It's legally problematic to release something as such.
- robinsloan 10y agoSincerely curious -- why is that? I was under the impression that public domain was well-established & well-understood, legally…?
- detaro 10y agoIn many countries you can not "release" works as public domain. E.g. here in Germany, a work can become public domain by expiring copyright, but creators have rights that can not be removed (not even voluntarily) before that. (In such countries, a court might recognize the intent behind a claim of public domain from a country where it is possible, but that requires interpretation of the law of the country the creator is from. And it's likely not an option for locals, since the concept does not exist in local law) Creative Commons created the CC0 license to work around this: it clearly lays out that a work is intended to be released as public domain, and failing that, all possible rights are granted and the creator doesn't intend to limit them in any way with his remaining ones. https://creativecommons.org/publicdomain/zero/1.0/legalcode https://creativecommons.org/publicdomain/zero/1.0/legalcode
- robinsloan 10y agoThat is exactly what I was curious to know -- thanks!
- sidarape 10y ago> creators have rights that can not be removed (not even voluntarily) before that. Doesn't that defeat the purpose of licenses? The principle of a license is exactly giving up rights on copyrighted work.
- pgeorgi 10y ago
- ftrflyr 10y agoWhat is the core purpose of the new Self - Driving Nanodegree - to crowdsource knowledge or to graduate students funneling them into this sector? It seems like there are two uniquely different value propositions at play here and the advantage is entirely on Udacity's end.
- pauljaworski 10y agoThis was my first thought as well. Does Udacity own or have rights to the code developed by students taking this course?
- tnecniv 10y agoIs there a full curriculum posted somewhere
- my_first_acct 10y agohttps://medium.com/self-driving-cars/term-1-in-depth-on-udacitys-self-driving-car-curriculum-ffcf46af0c08 https://medium.com/self-driving-cars/term-1-in-depth-on-udac... has some details.
- mandeepj 10y agoHi Oliver! I am getting started with this data. Please share pointers\direction about how can I start consuming this data. Update 1 - I see there are lot of details here - https://medium.com/udacity/challenge-2-using-deep-learning-to-predict-steering-angles-f42004a36ff3#.m5s4po5zo https://medium.com/udacity/challenge-2-using-deep-learning-t...
- mjshiggins 10y agoI'm here as a core contributor to the project and will be answering questions as well (in between making cable extensions for our lidar units).
- Animats 10y agoThis is just a database of normal driving. That's useful for learning how to follow the car in front and avoid stationary objects, but not much else. It's going to result in systems that drive like humans right up to the point they do something really bad. A more useful database would be the one Nexar is accumulating.[1] They collect dashcam imagery of events where the driver did a hard brake or the system detected some other hazardous condition. That database could be used to train a system which recognizes trouble before braking starts. Both systems need a much wider field of view. Probably at least 160 degrees, so cross traffic shows up before the collision. [1] http://spectrum.ieee.org/cars-that-think/transportation/sensors/the-ai-dashcam-app-that-wants-to-rate-every-driver-in-the-world http://spectrum.ieee.org/cars-that-think/transportation/sens...
- mjshiggins 10y agoDefinitely good points. We have three cameras that are arranged colinearly along the whole width of the windshield, so this dataset has a pretty big effective field of view. And while it is currently limited in a lot of ways, it's just the beginning of the types of data we will be releasing. Everything will start scaling up to cover more use cases, as this data is mainly meant to support the training of a visual network for steering wheel predictions. For the moment, we actually do want to train the networks to drive like "normal" humans in normal situations. Thanks for your thoughts!
- yalogin 10y agoWell, they just started. With a stated mission to build an open self driving car I expect them to release more data as they collect it.
- RangerScience 10y agoA friend of mine once commented that if you're not Google or Facebook, you don't have big data. Is this adding a tier to that? A gigabyte a second, per car? (I know, Google has self-driving cars, but forget about that for a moment)
- rw 10y agoThe world is bigger than web companies. For contrast, one experiment at CERN produces 40TB/sec of sensor data, before downsampling and filtering: https://en.wikipedia.org/wiki/Compact_Muon_Solenoid#Collecting_and_collating_the_data https://en.wikipedia.org/wiki/Compact_Muon_Solenoid#Collecti...
- RangerScience 10y agoHoly crap. And yes, it definitely is; if you haven't looked up Industry 4.0 or Industrial Internet, that entire sector is making a push to sensorize. As a rearguard defense: Yes, but, what percent of the time is CERN running an experiment [that generates that data]? According to a quick Google search, average time spent driving is 101 minutes / day. Totally makes sense that CERN (and, likely, any large Science! efforts) produces that level of burst data, but wouldn't these cars produce more data over time? As a different topic, a different friend of mine is of the opinion that AI is dependent on the throughput of data through the system; think about the amount of information your body feeds to your brain, and how much time it was doing that before you were capable of communication.
- tnecniv 10y agoSimilarly, I've worked on robotics platforms where we had to down sample incoming sensor data, otherwise the perception algorithms (which are very statistical) wouldn't be able to spin fast enough.
- blahi 10y agoGenomics datasets can be several hundreds of petabytes. I've heard about an exabyte+ dataset too.
- asimuvPR 10y agoCould you explain what type of data it is? Is it camera, lidar, engine controls, input controls, or all combined? What time length does the data cover? One hour of driving? Two? Do you have open map data related to the data set?