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Road object detection on Berkeley DeepDrive (BDD) 100k images with a total of 10 classes.

Home Page: https://www.youtube.com/watch?v=Asf7Op9gzO4&t=1s

License: GNU General Public License v3.0

Python 100.00%
deep-neural-networks object-detection pedestrian-detection road-signs vehicles-detection yolov3

bdd100k-yolov3-tiny's Introduction

Hi, I'm Yogesh ๐Ÿ‘‹

I'm a software engineer based in Los Angeles, CA, and an Electrical Engineering Graduate student at the University of Southern California. I'm an ambitious and self-motivated graduate with a strong inclination towards Computer Vision/Perception in Autonomous Driving.

I work with Prof. Jyotirmoy Deshmukh at USC CPS-VIDA as a Graduate Researcher and with Frenzy Labs, Inc as a Computer Vision Intern. I like to create things that involve a camera, LiDAR, and a car. The fusion makes it undeniably beautiful, especially the world it creates around it. The future of this fusion is near, and I'm excited to a part of it.

I'm seeking full-time opportunities starting in January 2021 with roles in Computer Vision, Perception, Robotics, Autonomous Driving.

yogeshgajjar

  • ๐Ÿ”ญ Iโ€™m currently developing a F1/10th autonomous vehicle

  • ๐ŸŒฑ Iโ€™m currently learning how to manage work ๐Ÿ‘จโ€๐Ÿ’ป and social life together ๐ŸŽ‰

  • ๐Ÿ‘จโ€๐Ÿ’ป Visit my porfolio website for complete background and contact.

  • ๐Ÿ’ฌ Ask me about : Autonomous Driving, Perception, Machine Learning & Robotics

  • โšก Fun fact : I'm a national level tennis player ๐ŸŽพ and I play drums! ๐Ÿฅ

Connect with me:

yogesh-gajjar/ yogesh.gajjar https://www.instagram.com/yogsh_16/ @yogeshgajjar75 https://www.youtube.com/channel/uce4toxurbxrf889vvgxlc2a

Languages and Tools:

cplusplus css3 gcp git html5 linux opencv python pytorch qt redis scikit_learn tensorflow

bdd100k-yolov3-tiny's People

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bdd100k-yolov3-tiny's Issues

The pretrained weight

Hi, thanks for sharing your work. Could you please provide a pretrained weight on BDD-100k? Thanks!

labels files information

Hi Thanks for your awesome work

Just want to know which label file you used

label released in 2018
or
detection labels released in 2020

So that I can parse json files to txt

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