UC Berkeley has released to the public its BDD100K self-driving dataset. The BDD100K self-driving dataset is quite vast with 100,000 videos that can be used to further technologies for autonomous vehicles. The dataset is part of the university’sDeepDriveproject that is investigating state-of-t...
Berkeley DeepDrive dataset Our explanation dataset is built on top of Berkeley Deep Drive dataset (https://bdd-data.berkeley.edu/) collected from dashboard cameras in human driven vehicles. This dataset contains dashboard camera videos, approximately 40 seconds in length, captured by a single front...
such as the robot’s position and if the robot collided or is driving over bumpy terrain, and adds these event labels back into the dataset. These events are labelled by having a person write a short snippet of code that maps the raw sensor data to the corresponding label. As an exa...
Berkeley AI Research (BAIR)/ Berkeley Deep Drive (BDD) Workshop 2019, Berkeley, US. Visual Wake Word Challenge,LPIRC Workshopat CVPR 2019, Long Beach, US, [slides],[link]. “RRAM Based Convolutional Neural Networks for High Accuracy Pattern Recognition and Online Learning Tasks”,VLSI-SNW2017...