Machine Learning Object Detection Tutorial Using YOLO (Free)

OctoML CLI 🔎

YOLOv5 Model Deployment Tutorial 🔎

YOLOv5 Object Detection Model Deployment to Docker Desktop (Full tutorial)

Object Detection is a highly popular use case of the famous YOLO computer vision model. It is widely used in many industries and its popularity is continuing to grow. In this video we will be deploying the YOLOv5 machine learning model and pass input images and videos into it. In the end we will be able to get output videos and images with object detection bounding boxes.

This follow-along tutorial is designed to help you quickly get YOLOv5 computer vision models deployed to your local computer for inference. Below you’ll be introduced to the OctoML CLI, a free command line utility that packages machine learning models into deployable Docker containers with NVIDIA Triton Inference Server. When you’re ready to deploy to production, OctoML CLI can also be used to accelerate and deploy YOLOv5 to over 100 instance types in AWS, Azure and GCP.

🔑 TIMESTAMPS
================================
00:00 - Intro
00:55 - Download Docker
03:52 - YOLOv5 Model
07:35 - OctoML CLI
11:26 - Recap
12:17 - Model Inference

🚀 Join me on #100DaysOfML
================================
🛫 Start from day 0:

👩🏽‍💻 LET'S CONNECT!
================================
🦄 Join my Discord server:

🛤️ Machine Learning Roadmap 2022 Website:

📩 SUBSCRIBE to my machine learning newsletter:

🔔 SUBSCRIBE to my channel (It's FREE):

🎓 Connect with me on LinkedIn:

🤓 Follow me on Instagram:

--------------------------------------------------------------------------
MORE VIDEOS:
--------------------------------------------------------------------------
📌I'm Starting My Machine Learning Company (Day 1)

📌Top Machine Learning Certifications For 2021

📌Why You Should NOT Learn Machine Learning!

📌How I Learnt Machine Learning In 6 Steps (3 months)

📌How To Learn Machine Learning For Free

[venkyturaila]

Hello Smitha I wanted to learn machine learning from scratch so I saw your channel then i started to learn through your content on machine learning it was helpful for me as beginner

[SWAY]

Hi Smitha, your tutorials have been extremely helpful in understanding the foundation of ML. Your way of explaining things is excellent.Please keep posting more such ML Projects. Thanks a tonne.

[gulistanibadat]

The end result for object detection is very good 👍👏

[owaisahmad]

Awesome explanation specially with use of docker😍😍

[tanzimulhaqueshimul]

Smitha, you should create complete beginner to advance Machine learning tutorial. And we will stay with you.

[oleg.bissing]

there are waaaay to many things to install :D

[alfonsobaqueiro]

Why it only detects sub regions of the image as objects?, In the Einstein picture the house is not detected nor the bicicle and person in the shadow. Do you know how this models work? Would be nice to know what is behind this models.

[divyas]

I want to ML project by own can u suggest me any of ur videos

[tza]

Hi! unfortunately all the links you have provided are invalid. I'm in Australia so this might be why. I got stuck when trying to find octoml.

[sahalep]

I always thought YOLO meant 'you only live once'😭

[snehitvaddi]

I'm sorry, if this hell of a process takes 15 minutes, here is my tip for object detection in 2-minutes. Use *ROBOFLOW*