AcademicContent
Free tech resources for faculty, students, researchers, life-long learners, and academic community builders for use in tech based courses, workshops, and hackathons. (by microsoft)
Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning
My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset. (by alen-smajic)
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| AcademicContent | Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning | |
|---|---|---|
| 1 | 8 | |
| 2,641 | 57 | |
| 0.5% | - | |
| 0.0 | 3.6 | |
| 4 months ago | about 3 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
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Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
AcademicContent
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Microsoft-Build-Student-Developer-Drop-in-day
Write code to play the Microsoft Match Game. Our version of the popular card game where you have to find two cards with the same image to make a match. But in our Game, no two tiles are the same. You have to match up the tiles that contain the same subject matter using the A.I. power of Azure Cognitive Services to analyse the images on each tile and to determine what subject of each image is. You start with a set of tiles face down and you get to turn over two tiles at a time in order to match tiles in pairs, but, unlike the usual version of the matching game, you are not looking for two identical images. You have to use Microsoft’s Cognitive Services to understand exactly what the content of each tile image is. Then you need to find another tile with the same content. Interested in taking part watch he following introduction Video read the game instructions and join the AI Gaming Challenge
Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning
Posts with mentions or reviews of Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning.
We have used some of these posts to build our list of alternatives
and similar projects.
- Real-time Object Detection for Autonomous Driving using Deep Learning, Performance comparison of YOLO and Faster R-CNN based on the BDD100K dataset
- [P] Real-time Object Detection for Autonomous Driving using Deep Learning, Performance comparison of YOLO and Faster R-CNN on the BDD100K dataset, Goethe University Frankfurt Germany (Fall 2020)
- Real-time Object Detection for Autonomous Driving using Deep Learning, Performance comparison of YOLO and Faster R-CNN on the BDD100K dataset, Goethe University Frankfurt Germany (Fall 2020)
- Real-time Object Detection for Autonomous Driving using Deep Learning, Goethe University Frankfurt Germany (Fall 2020)