Welcome to CV Orbit! Explore exciting computer vision projects and deep-dive into key topics like image processing, AI models, and cutting-edge vision techniques. Perfect for developers, AI enthusiasts, and learners passionate about computer vision!
Learn how to build a Sign Language Recognition model using YOLOv11 Classification and Python. In this video, we download the dataset, train the model, evaluate its accuracy, and test it on hand gesture images to recognize AβZ sign language alphabets.
In this video, we build a Beverage Detection model using Faster R-CNN to detect soda cans, water bottles, and beer bottles with bounding box predictions and confidence scores.
Learn how object detection works in a real-world custom project using Python, OpenCV, and PyTorch.
Learn how to train a custom Animal Detection model using Faster R-CNN and PyTorch. This tutorial covers dataset download from Roboflow, custom dataset creation, model training, loss visualization, and inference with bounding box detection.
Learn how to build a Real-Time Image Enhancement Tool using Python and OpenCV. This project lets you control brightness, contrast, blur, sharpness, and more using interactive trackbars, with instant before-after comparison.
Perfect for beginners in Computer Vision and Image Processing.
π YOLOv8 Object Tracking using Python and OpenCV
In this video, you'll learn how to track objects in video using YOLOv8 and assign unique IDs to each object. This tutorial covers real-time tracking, model usage, and visualization using OpenCV.
π Premieres tonight at 9 PM β Donβt miss it!
Yesterday, I published a video on Traffic Sign Detection using SSD300-VGG16 and PyTorch, where I trained a custom model to detect 28 traffic sign classes.
This project covers the full pipeline including dataset preparation, model customization, training, and inference with bounding box visualization.
CV orbit
β° Video Premiering Today at 9 PM!
Learn how to build a Sign Language Recognition model using YOLOv11 Classification and Python. In this video, we download the dataset, train the model, evaluate its accuracy, and test it on hand gesture images to recognize AβZ sign language alphabets.
π₯ Watch the full video here: https://youtu.be/yaVOOi-DKA8
π Premieres today at 9 PM β donβt miss it!
#ComputerVision #YOLOv11 #SignLanguageRecognition #DeepLearning #PythonAI #MachineLearning #Ultralytics
4 weeks ago | [YT] | 2
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CV orbit
π Beverage Detection using Faster R-CNN
In this video, we build a Beverage Detection model using Faster R-CNN to detect soda cans, water bottles, and beer bottles with bounding box predictions and confidence scores.
Learn how object detection works in a real-world custom project using Python, OpenCV, and PyTorch.
β° Premieres tonight at 9 PM!
Donβt miss it.
1 month ago | [YT] | 6
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π Scheduled for 9 PM Tonight!
In this video, we build a Football Team Detection system using YOLO + KMeans β½π₯
Learn how to detect players, extract jersey colors, cluster them into teams, and draw team-based bounding boxes in real time using Python and OpenCV.
Donβt miss it β see you at 9 PM! β°
#YOLO #ComputerVision #MachineLearning #SportsAnalytics #Python #AI
1 month ago | [YT] | 3
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π Scheduled for 9 PM Tonight!
In this video, we build a Football Team Detection system using YOLO + KMeans β½π₯
Learn how to detect players, extract jersey colors, cluster them into teams, and draw team-based bounding boxes in real time using Python and OpenCV.
Donβt miss it β see you at 9 PM! β°
#YOLO #ComputerVision #MachineLearning #SportsAnalytics #Python #AI
1 month ago | [YT] | 4
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CV orbit
π Scheduled for 9 PM Tonight!
In this video, we build a Football Team Detection system using YOLO + KMeans β½π₯
Learn how to detect players, extract jersey colors, cluster them into teams, and draw team-based bounding boxes in real time using Python and OpenCV.
Donβt miss it β see you at 9 PM! β°
#YOLO #ComputerVision #MachineLearning #SportsAnalytics #Python #AI
1 month ago | [YT] | 1
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π Vehicle Speed Estimation using YOLO 11 + Tracking
Tonight at 9 PM, Iβm sharing a complete tutorial on building a real-time Vehicle Speed Estimation system using YOLO 11, OpenCV, and Python.
Youβll learn how to detect vehicles, track them with built-in YOLO tracking, detect line crossings, and calculate real-world speed in km/h.
Donβt miss it β see you at 9 PM! π
#YOLO11 #ComputerVision #OpenCV #Python #ObjectDetection #AIProjects
1 month ago | [YT] | 6
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π New Video Premiering Tonight at 9 PM!
Learn how to train a custom Animal Detection model using Faster R-CNN and PyTorch. This tutorial covers dataset download from Roboflow, custom dataset creation, model training, loss visualization, and inference with bounding box detection.
#PyTorch #ObjectDetection #FasterRCNN #ComputerVision #AI #DeepLearning
1 month ago | [YT] | 4
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CV orbit
π New Video Premiering Today at 9 PM!
Learn how to build a Real-Time Image Enhancement Tool using Python and OpenCV. This project lets you control brightness, contrast, blur, sharpness, and more using interactive trackbars, with instant before-after comparison.
Perfect for beginners in Computer Vision and Image Processing.
Stay tuned and donβt miss it! π₯
#OpenCV #Python #ComputerVision #ImageProcessing #PythonProjects
1 month ago | [YT] | 3
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CV orbit
π YOLOv8 Object Tracking using Python and OpenCV
In this video, you'll learn how to track objects in video using YOLOv8 and assign unique IDs to each object. This tutorial covers real-time tracking, model usage, and visualization using OpenCV.
π Premieres tonight at 9 PM β Donβt miss it!
#YOLOv8 #ObjectTracking #Python #OpenCV #ComputerVision #AI #DeepLearning
1 month ago | [YT] | 3
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CV orbit
Yesterday, I published a video on Traffic Sign Detection using SSD300-VGG16 and PyTorch, where I trained a custom model to detect 28 traffic sign classes.
This project covers the full pipeline including dataset preparation, model customization, training, and inference with bounding box visualization.
π₯ YouTube: https://youtu.be/BvlIcxrdrDY
#ComputerVision #DeepLearning #PyTorch #ObjectDetection #AI
1 month ago | [YT] | 1
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