Earlier quoted context omitted.
If you are an officer of scale you should take this offline. If not then you’re probably not authorized to speak on behalf of scale. Check your NDAs and service agreements. This is in such poor taste, anyone who would consider scale’s service now has to consider this sort of public commentary.
Leaving out attribution is in poor taste. There were multiple chances to give attribution in the original blog post.
Lyft releases self-driving research dataset
51–60 of 123 posts
Re: Lyft releases self-driving research dataset
#52(I work at scale) Hmm this blog post and the website doesn't mention that this dataset was mostly annotated by Scale (scale.ai), as part of a partnership with Lyft ... We're going to publish a blog post about this soon, but if anyone at Lyft is reading this, please figure out how to reasonably credit Scale since I doubt leaving out Scale completely from the announcement is in the spirit of the agreement. Scale should…
Hi, I'm the CEO of Scale.ai. This comment does not represent the company's viewpoint, and cardigan is not speaking on behalf of Scale. We are very excited to have been able to work with Lyft in open-sourcing this dataset and advancing the research community. We are also very grateful to Lyft for choosing to leverage our point cloud viewer and have credited the annotations to us on their launch page.
Re: Lyft releases self-driving research dataset
#53Earlier quoted context omitted.
Quick tip: voice concerns about partners in private. Lyft will probably be happy to credit Scale more - it was likely an honest mistake. But now you dragged them through the mud publicly, which is going to make big companies less likely to work with Scale in the future.
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Re: Lyft releases self-driving research dataset
#54Earlier quoted context omitted.
Also, the viewer packaged with nuScenes was built by Steven Hao from Scale, and while it was packaged as part of nuScenes it should probably be called Scale's viewer instead of nuScenes' viewer. The original viewer in the nuscenes SDK has the Scale logo, but it looks like Lyft removed that in the fork. Maybe a bit of public shaming will fix that... Dear Lyft marketing person who wrote this: we are a data labeling com…
Not nitpicking, genuinely curious. L10? I've never heard of that climbing scale.
Without some kind of gymnast background I honestly don't think it's possible. Even 0 to v10 in a year is hard to believe. I've heard of phenoms doing it in 2 or 3 years, and don't doubt a year is possible... but a few months? Kind of like going from couch to sub 5-minute mile in a few months.
Re: Lyft releases self-driving research dataset
#55Earlier quoted context omitted.
Hi, I'm the CEO of Scale.ai. This comment does not represent the company's viewpoint, and cardigan is not speaking on behalf of Scale. We are very excited to have been able to work with Lyft in open-sourcing this dataset and advancing the research community. We are also very grateful to Lyft for choosing to leverage our point cloud viewer and have credited the annotations to us on their launch page.
the point cloud viewer which cardigan also had to point out was produced by someone at scale, and not nuScene? pretty inconvenient for you when workers want their efforts recognised, and not just thought of as capital for you to push around however you please, huh?
Re: Lyft releases self-driving research dataset
#56Earlier quoted context omitted.
Also, the viewer packaged with nuScenes was built by Steven Hao from Scale, and while it was packaged as part of nuScenes it should probably be called Scale's viewer instead of nuScenes' viewer. The original viewer in the nuscenes SDK has the Scale logo, but it looks like Lyft removed that in the fork. Maybe a bit of public shaming will fix that... Dear Lyft marketing person who wrote this: we are a data labeling com…
Have a wonderful day tomorrow. Good luck.
Re: Lyft releases self-driving research dataset
#57Earlier quoted context omitted.
Also, the viewer packaged with nuScenes was built by Steven Hao from Scale, and while it was packaged as part of nuScenes it should probably be called Scale's viewer instead of nuScenes' viewer. The original viewer in the nuscenes SDK has the Scale logo, but it looks like Lyft removed that in the fork. Maybe a bit of public shaming will fix that... Dear Lyft marketing person who wrote this: we are a data labeling com…
"Gets to number one in random video games" Genius
Re: Lyft releases self-driving research dataset
#58(I work at scale) Hmm this blog post and the website doesn't mention that this dataset was mostly annotated by Scale (scale.ai), as part of a partnership with Lyft ... We're going to publish a blog post about this soon, but if anyone at Lyft is reading this, please figure out how to reasonably credit Scale since I doubt leaving out Scale completely from the announcement is in the spirit of the agreement. Scale should…
Hi, I'm the CEO of Scale.ai. This comment does not represent the company's viewpoint, and cardigan is not speaking on behalf of Scale. We are very excited to have been able to work with Lyft in open-sourcing this dataset and advancing the research community. We are also very grateful to Lyft for choosing to leverage our point cloud viewer and have credited the annotations to us on their launch page.
Re: Lyft releases self-driving research dataset
#59“There will be $25,000 in prizes, and we’ll be flying the top researchers to the NeurIPS Conference in December, as well as allowing the winners to interview with our team.” I guess it’s a decent opportunity if you’re trying to break into DL?
I had a bad experience with Lyft's previous self driving challenge - https://www.udacity.com/lyft-challenge I unofficially got first place after finding a bug in their test set (allowing me to blow the competition away). I reported the problem directly - they decided not to fix it and asked me to take my submission down. They said they'd still offer an interview. However - this interview wasn't even for their DL team…
Imagine if it was a bug in their app leaking millions of users data and they go "We do not fix it. You can only use Uber now" "Also, come for an interview if you want to fix our web tools instead"
Re: Lyft releases self-driving research dataset
#60$25k in prizes seems silly given this is a multi-billion dollar market to crack.
Such competitions do not usually result in a comprehensive "solution" by themselves - pushing the state-of-the-art is more common. Also the value is not going to be derived solely from the algorithm but more from its deployment to real world applications and the surrounding infrastructure to make it possible.
But do not forget there will be 10s (if not 100s) of people working on this for 30 days. The man-hour this competition will use is highly disproportionate to the amount offered overall.