Complete Real-Life YOLOv10 Project | Train - Build - Docker
🎥 Welcome to the Complete Real-Life YOLOv10 Project Pipeline Video! 🚀
In this video, you'll discover:
1️⃣ How to Annotate 📝: A step-by-step guide to creating accurate annotations.
2️⃣ Custom Training 🧠: Learn how to train YOLOv10 on your own dataset.
3️⃣ Traffic Analysis Project 🚦: Build a real-world project using your trained model.
4️⃣ Docker Deployment 🐳: Create a Docker image to deploy your project seamlessly.
🔧 Ready to dive in? Let's get started! 🌟
Links:
Github: https://github.com/deepakat002/32_tra...
YOLOv10 Github: https://github.com/THU-MIG/yolov10
YOLOv10 research paper: https://arxiv.org/abs/2405.14458
OC SORT: https://github.com/mikel-brostrom/boxmot
https://avutec.com/traffic-data-colle...
https://testbook.com/civil-engineerin...
https://www.wejo.com/resources/the-co...
https://www.freepik.com/icon/python-f...
https://www.pngwing.com/en/free-png-x...
https://github.com/rudrabarad/Gifs
Music by: https://www.epidemicsound.com/
#YOLOv10 #docker #computervision