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Data Scientist, AI & ML enthusiast (More tutorials at https://www.techzizou.com )

(Tutorial for beginners)

My YouTube Video on this!

In this tutorial, we will be training a custom object detector for mask detection using YOLOv4-tiny and Darknet on our Linux(Ubuntu 18.04) system

FOLLOW THESE 10 STEPS TO TRAIN AN OBJECT DETECTOR USING YOLOv4-tiny

( But first ✅Subscribe to my YouTube channel 👉🏻 https://bit.ly/3Ap3sdi 😁😜)

  1. Create yolov4-tiny and training folders on your Desktop
  2. Open a command prompt and navigate to the “yolov4-tiny” folder
  3. Create and copy the darknet.exe file
  4. Create & copy the files we need for training ( i.e. “obj” dataset folder…


(Tutorial for beginners)

My YouTube video on this!

In this tutorial, we will be training a custom object detector for mask detection using YOLOv4 and Darknet on our Linux(Ubuntu 18.04) system

FOLLOW THESE 10 STEPS TO TRAIN AN OBJECT DETECTOR USING YOLOv4

( But first ✅Subscribe to my YouTube channel 👉🏻 https://bit.ly/3Ap3sdi 😁😜)

  1. Create yolov4 and training folders on your Desktop
  2. Open a command prompt and navigate to the “yolov4” folder
  3. Create and copy the darknet.exe file
  4. Create & copy the files we need for training ( i.e. “obj” dataset folder…


(Tutorial for beginners)

My YouTube video on this

In this tutorial, we will be training a custom object detector for mask detection using YOLOv4-tiny and Darknet on our Windows system

FOLLOW THESE 10 STEPS TO TRAIN AN OBJECT DETECTOR USING YOLOv4-tiny

( But first ✅Subscribe to my YouTube channel 👉🏻 https://bit.ly/3Ap3sdi 😁😜)

  1. Create yolov4-tiny and training folders on your Desktop
  2. Open a command prompt and navigate to the “yolov4-tiny” folder
  3. Create and copy the darknet.exe file
  4. Create & copy the files we need for training ( i.e. “obj” dataset, “yolov4-tiny-custom.cfg”…


(Tutorial for beginners)

My YouTube video on this!

In this tutorial, we will be training a custom object detector for mask detection using YOLOv4 and Darknet on our Windows system

FOLLOW THESE 10 STEPS TO TRAIN AN OBJECT DETECTOR USING YOLOv4

( But first ✅Subscribe to my YouTube channel 👉🏻 https://bit.ly/3Ap3sdi 😁😜)

  1. Create yolov4 and training folders on your Desktop
  2. Open a command prompt and navigate to the “yolov4” folder
  3. Create and copy the darknet.exe file
  4. Create & copy the files we need for training ( i.e. “obj” dataset, “yolov4-custom.cfg”…


My YouTube Videos on this!

For Windows

For Linux

CONTENTS

( But first ✅Subscribe to my YouTube channel 👉🏻 https://bit.ly/3Ap3sdi 😁😜)

(A) Installing YOLOv4 on Windows

(Installation method: Using CMake)

STEP 1) Download Darknet

Download Darknet zip-archive with the latest commit and uncompress it: master.zip

STEP 2) Install MSVC (Microsoft Visual Studio)


CONTENTS

( But first ✅Subscribe to my YouTube channel 👉🏻 https://bit.ly/3Ap3sdi 😁😜)

CUDA & CUDNN FOR WINDOWS

STEP 1) Download and install CUDA Toolkit

Go to https://developer.nvidia.com/cuda-downloads to download the latest CUDA Toolkit.

You can also download previous versions from the Archive of Previous CUDA Releases under the Resources section on the same page given above.

( For this Tutorial, I…


Photo by Mitchell Luo on Unsplash

Training YOLO for Object Detection

What is YOLO?

YOLO stands for You Only Look Once. YOLO is a state-of-the-art, real-time object detection system. It was developed by Joseph Redmon. It is a real-time object recognition system that can recognize multiple objects in a single frame. YOLO has evolved into newer versions over time, viz., YOLOv2, YOLOv3, and YOLOv4.


(TUTORIAL FOR BEGINNERS)

In Machine Learning, data labeling is the process of identifying raw data (images, text files, videos, etc.) and adding one or more meaningful and informative labels to provide context so that a machine learning model can learn from it. For example, labels might indicate whether a photo contains a bird…

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