GitHub topics: lyft-perception-challenge
mahfuz195/Lyft-perception-challange
Road Image Segmentation for Autonomous Vehicle using Fully Convolution Network (FCN).
Size: 2.49 MB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0
sudoshivam/ai-for-self-driving-cars
Semantic segmentation models for self-driving cars. Models developed for "Lyft Udacity Challenge for Self-driving Cars".
Language: Jupyter Notebook - Size: 14.5 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
ericlavigne/Lyft-Perception-Challenge
Won 28th place in this competition to accurately detect cars and road in images from CARLA simulator at 10 frames per second.
Language: Python - Size: 3.4 MB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 9 - Forks: 0
AmeyaWagh/Lyft_Perception_challenge
MASK-RCNN implementation for Lyft Perception Challenge
Language: Jupyter Notebook - Size: 69.3 MB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 10 - Forks: 3
