Lyft-Perception-Challenge
Image segmentation model
This project aims to accurately detect vehicles and drivable roads in images from a simulator at high frame rates.
Won 28th place in this competition to accurately detect cars and road in images from CARLA simulator at 10 frames per second.
9 stars
1 watching
0 forks
Language: Python
last commit: almost 2 years ago
Linked from 1 awesome list
convolutional-neural-networkslyft-perception-challengesegmentationudacity-self-driving-car
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