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!
Ever wondered how to train your own Image Segmentation AI from scratch?
In today's tutorial, I'll show you the complete workflow of building a U-Net + ResNet34 segmentation model using PyTorch, from downloading the dataset to training, visualization, and inference.
π‘ In this video, you'll learn: β Build a custom PyTorch Dataset β Train a U-Net model with transfer learning β Visualize segmentation predictions β Test the model on unseen images
If you're interested in Computer Vision, Deep Learning, or AI Projects, this tutorial is for you!
Learn how to build a Real-Time Ball Tracking System using YOLO, OpenCV, and Python. Discover how to recover missed detections with linear interpolation for smooth and accurate tracking, perfect for sports analytics projects.
π₯ Watch the full tutorial at 9:00 PM IST and let me know what project you'd like to see next! https://youtu.be/t18k3mGVNgQ
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.
CV orbit
π¨ Premiering Tonight at 9:00 PM! ππ₯
Ever wondered how to train your own Image Segmentation AI from scratch?
In today's tutorial, I'll show you the complete workflow of building a U-Net + ResNet34 segmentation model using PyTorch, from downloading the dataset to training, visualization, and inference.
π‘ In this video, you'll learn:
β Build a custom PyTorch Dataset
β Train a U-Net model with transfer learning
β Visualize segmentation predictions
β Test the model on unseen images
If you're interested in Computer Vision, Deep Learning, or AI Projects, this tutorial is for you!
Tutorial: https://youtu.be/1P1Z26cGZAs
β° The video goes live at 9:00 PM today!
Be there, set a reminder, and don't miss the premiere. I'll be in the live chat answering your questions!
π See you at 9 PM! π
1 day ago | [YT] | 3
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CV orbit
π New Video Premieres Tonight at 9:00 PM IST!
Learn how to build a Real-Time Ball Tracking System using YOLO, OpenCV, and Python. Discover how to recover missed detections with linear interpolation for smooth and accurate tracking, perfect for sports analytics projects.
π₯ Watch the full tutorial at 9:00 PM IST and let me know what project you'd like to see next!
https://youtu.be/t18k3mGVNgQ
#YOLO #OpenCV #Python #ComputerVision #AI #BallTracking #SportsAnalytics #MachineLearning
4 days ago | [YT] | 2
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CV orbit
ππ New Computer Vision Project is LIVE!
Learn how to build a Real-Time Apple Object Counting System using YOLO, Object Tracking & OpenCV!
π₯ In this project:
β’ YOLO Object Detection
β’ Object Tracking with IDs
β’ ROI Masking
β’ Line-Crossing Detection
β’ Real-Time Object Counting
β’ Roboflow + Albumentations Dataset
π https://youtu.be/ybCzLHJdpbI
#YOLO #ComputerVision #ObjectDetection #ObjectTracking #OpenCV
2 weeks ago | [YT] | 5
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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 months 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.
5 months ago | [YT] | 6
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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
5 months ago | [YT] | 3
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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
5 months 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
5 months ago | [YT] | 1
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CV orbit
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
5 months ago | [YT] | 6
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CV orbit
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
5 months ago | [YT] | 4
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