Traffic Lights Detection and Color Recognition using YOLOv8 | Custom Object Detection Tutorial

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#yolo #yolov8 #objectdetection #computervision #opencv #pytorch #python #trafficlights #trafficlightsdetection #trafficanalysis
A complete YOLOv8 custom object detection and Tracking tutorial. In this tutorial, the YOLOv8 model is trained/ fine-tuned on Traffic Lights dataset.
YOLOv8 Traffic Light Detection + Color Recognition.
✅YOLOv8 for Traffic Lights Detection and Color Recognition
✅Works in Real-Time
✅Color of bounding boxes reflects the detected color.
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► Time Stamps:
Introduction: (0:00)
Choosing Appropriate Dataset (Traffic Lights Dataset): (0:14)
Train YOLOv8 Custom Dataset: (6:00)
Testing the Fine-Tuned YOLOv8 Model on Videos: (16:10)

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► Github Repo:
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🧑🏻‍💻 My AI and Computer Vision Courses⭐:

📙 YOLOv9: Learn Object Detection, Tracking with WebApps (13$):

📕 Learn LangChain: Build #22 LLM Apps using OpenAI & Llama 2 (14$):

📚 Computer Vision Web Development: YOLOv8 and TensorFlow.js (13$):

📕 Learn OpenCV: Build # 30 Apps with OpenCV, YOLOv8 & YOLO-NAS (13$):




muhammadmoinfaisal
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Awesome tutorial, Muhammad! Great work!

aibaseHQ
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This is cool. Is it based on color or positioning. For example, if the top was green, would it say red, green, or undetermined?

duongtruongthanh
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When will flask toturial will come for yolov8 as you said it is coming this week. Thanks.

aminaabdulrehman
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Sir can you make a tutorial on how to create a flask API and deploy model in exspanse, I have checked the site and they you can train deploy monitor model in exspanse, so please make a video tutorial on it,

Plus do exspanse have any yearly or monthly subscription and do they offer any discount

Thank you

Ahmed-xnqf
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Plz upload the video on flask for yolov8.

aminaabdulrehman
welcome to shbcf.ru