Tesla官方曝光了其神經網路視覺辨識成果 - 特斯拉
By Agnes
at 2020-01-31T18:43
at 2020-01-31T18:43
Table of Contents
影片:
https://www.tesla.com/sites/default/files/images/careers/autopilot/network.mp4
來源:
https://www.tesla.com/autopilotAI?redirect=no
在Tesla 官網的招聘頁面中,有一小段影片(應該是今天才放上去的)
這是Tesla 利用神經網路去做視覺辨識的訓練成果
一般來說利用神經網路做視覺辨識需要大量人力先將各種影像物件貼上標籤
但是Tesla 目前已經有至少六七十萬輛車在全世界路上跑蒐集資訊
在今年某個時刻將會突破百萬輛
要用人工手動貼標籤那是不可能的
於是Tesla 很早就發展了一套方法用電腦自動幫物件貼標籤來做為NN 訓練之用
原理主要是利用人類駕駛的行為(註)
(當然自動標註並不是只有Tesla 在研究,很多公司都有)
而在這影片中可以看到Tesla AP 能夠做的東西遠比表現出來的更多
像是識別濕地、識別輪胎噴出的水氣、Cutin 的機率判斷
註:
可參考此文:淺析自動標註,特斯拉用人類駕駛行為訓練Autopilot
https://zhuanlan.zhihu.com/p/95619306
--
Tesla 視覺辨識的應用之一 - 智慧召喚時識別邊界:
https://i.imgur.com/VCNfidD.gif
https://i.imgur.com/hXLug8A.gif
--
https://www.tesla.com/sites/default/files/images/careers/autopilot/network.mp4
來源:
https://www.tesla.com/autopilotAI?redirect=no
在Tesla 官網的招聘頁面中,有一小段影片(應該是今天才放上去的)
這是Tesla 利用神經網路去做視覺辨識的訓練成果
一般來說利用神經網路做視覺辨識需要大量人力先將各種影像物件貼上標籤
但是Tesla 目前已經有至少六七十萬輛車在全世界路上跑蒐集資訊
在今年某個時刻將會突破百萬輛
要用人工手動貼標籤那是不可能的
於是Tesla 很早就發展了一套方法用電腦自動幫物件貼標籤來做為NN 訓練之用
原理主要是利用人類駕駛的行為(註)
(當然自動標註並不是只有Tesla 在研究,很多公司都有)
而在這影片中可以看到Tesla AP 能夠做的東西遠比表現出來的更多
像是識別濕地、識別輪胎噴出的水氣、Cutin 的機率判斷
註:
可參考此文:淺析自動標註,特斯拉用人類駕駛行為訓練Autopilot
https://zhuanlan.zhihu.com/p/95619306
--
Tesla 視覺辨識的應用之一 - 智慧召喚時識別邊界:
https://i.imgur.com/VCNfidD.gif
https://i.imgur.com/hXLug8A.gif
--
Tags:
特斯拉
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