🚙 Baidu, on Thursday announced the release of ApolloScape, billed as the world’s largest open-source dataset for autonomous driving technology!
The data volume of ApolloScape is 10 times greater than any other open-source autonomous driving dataset, including Kitti and CityScapes. This data can be utilized for perception, simulation scenes, road networks etc., as well as enabling autonomous driving vehicles to be trained in more complex environments, weather and traffic conditions.
Find the details here: https://medium.com/@Synced/baidu-apollo-releases-massive-self-driving-dataset-teams-up-with-berkeley-deepdrive-5e785ab4053b
Find the dataset here: http://apolloscape.auto/
The data volume of ApolloScape is 10 times greater than any other open-source autonomous driving dataset, including Kitti and CityScapes. This data can be utilized for perception, simulation scenes, road networks etc., as well as enabling autonomous driving vehicles to be trained in more complex environments, weather and traffic conditions.
Find the details here: https://medium.com/@Synced/baidu-apollo-releases-massive-self-driving-dataset-teams-up-with-berkeley-deepdrive-5e785ab4053b
Find the dataset here: http://apolloscape.auto/
Medium
Baidu Apollo Releases Massive Self-driving Dataset; Teams Up With Berkeley DeepDrive
Baidu this Thursday announced the release of ApolloScape, billed as the world’s largest open-source dataset for autonomous driving…
Facebook is developing an AI called TL;DR which summarises news into shorter snippets.
Anyone who’s spent much time on the web will know what TL;DR stands for—but, for everyone else, it’s an acronym for “Too Long, Didn’t Read”.
It’s an understandable sentiment we’ve all felt at some point. People lead busy lives. Some outlets now even specialise in short, at-a-glance news.
The problem is, it’s hard to get the full picture of a story in just a brief snippet.
https://artificialintelligence-news.com/2020/12/16/facebook-developing-news-summarising-ai-tldr/
Anyone who’s spent much time on the web will know what TL;DR stands for—but, for everyone else, it’s an acronym for “Too Long, Didn’t Read”.
It’s an understandable sentiment we’ve all felt at some point. People lead busy lives. Some outlets now even specialise in short, at-a-glance news.
The problem is, it’s hard to get the full picture of a story in just a brief snippet.
https://artificialintelligence-news.com/2020/12/16/facebook-developing-news-summarising-ai-tldr/
AI News
Facebook is developing a news-summarising AI called TL;DR
Facebook is developing an AI called TL;DR which summarises news into shorter snippets.
DataSpoof patreon is going to launch this week
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Real-Time Lane Detection and alerts for Autonomous Driving
medium: https://towardsdatascience.com/real-time-lane-detection-and-alerts-for-autonomous-driving-1f0a021390ee
paper: https://arxiv.org/pdf/1807.01726.pdf
github repo: https://github.com/MaybeShewill-CV/lanenet-lane-detection
Join: https://t.me/DeepLearning_ai
medium: https://towardsdatascience.com/real-time-lane-detection-and-alerts-for-autonomous-driving-1f0a021390ee
paper: https://arxiv.org/pdf/1807.01726.pdf
github repo: https://github.com/MaybeShewill-CV/lanenet-lane-detection
Join: https://t.me/DeepLearning_ai
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