YOLOv5: How to Train a Object Detection Model on Custom Dataset

If you’re looking for courses and to extend your knowledge even more, check out this link here: 👉 ➡️ get 20% OFF with the code: YOUTUBE In this Neural Networks and Deep Learning tutorial 📝 we are going to take a look at YOLOv5 for Custom Object Detection. We will start with our own custom dataset, annotate it with roboflow and load it into google colab. We are going to train a YOLOv5 Model on mugs and see the results at the end of the video. If you enjoyed this video, be sure to press the 👍 button so that I know what content you guys like to see. _______________________________________________________________ ⚒️Freelance Work: _______________________________________________________________ 🧑🏻‍💻 My AI and Computer Vision Courses⭐: 🤖 Enroll in CustomGPT Implementation Course: 📚 Research Paper Implementation Course: 📕 Object Detection Course:https: 📗 OpenCV GPU Course:https: 📘 SegFormer Course: 📙 Object Tracking Course: 🦾 Online Courses with Job Guarantee on Springboard (Save $1000 with: “NICOLAINIELSEN“) _______________________________________________________________ 📞 Connect with Me: 🌍 My Website: 🤖 GitHub: 👉 LinkedIn: … 🐦 Twitter: _______________________________________________________________ ⌛TimeStamps⏳ 0:00 Intro & Setup 4:57 Custom Dataset 13:06 Colab Setup 17:50 YOLOv5 Training 27:06 Inference Tags for the video: #YOLOv5 #ObjectDetection #DeepLearning