YOLOV5: How to Train a Custom YOLOv5 Object Detector | Official YOLOv5
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 Published On Jul 5, 2022

YOLOv5 Object Detector - This video will teach how to train a Custom YOLOv5 Object Detector.
Plus:
+ Learn the basic ideas of Transfer Learning and Fine Tuning for Object Detection.
+ Train YOLOv5s (small) and YOLOv5m (medium) models on a custom dataset.
+ Check how freezing some of the layers of a model can lead to faster iteration time per epoch and what impacts it can have on the final result.
+ Compare the performance of the models, which include the mAP, FPS, and the inference time on CPU and GPU.

We have covered the following topics:

✅What is YOLOv5?
✅Models Available in YOLOv5
✅Features Provided by YOLOv5
✅Custom Object Detection Training using YOLOv5
✅Approach for Custom Training
✅The Custom Training Code
✅Preparing the Dataset
✅Clone the YOLOv5 Repository
✅Training the Small Model (yolov5s)
✅Training a YOLOv5 Medium Model
✅Training Medium YOLOv5 Model by Freezing Layers
✅Performance Comparison

❓FAQ

How can I improve my YOLOv5 accuracy?
How many pictures do you need to train YOLOv5?
How do you train models for object detection?
How do I train my own yolov4 custom object detector?
How do you use YOLOv5 for object detection?
Does YOLOv5 use CNN?
Can YOLOv5 detect small objects?
What is YOLOv5?

If you still need help, then learn more about the official YOLOv5 here:
📚 Blog post link: https://learnopencv.com/custom-object...

🎵 YOLO Master Class Playlist:
   • YOLO Master Class: Master The Vision  

☢️ GitHub Code Link
https://github.com/spmallick/learnope...

⭐️ Time Stamps:⭐️
0:00-00:20: Introduction
00:20-00:29: YOLOv5n (Nano)
00:29-00:38: YOLOv5s (Small)
00:38-00:52: YOLOv5m (Medium)
00:52-01:02: YOLOv5l (Large)
01:02-01:50: YOLOv5x (Extra Large)
1:50-02:45: Code Explanation
02:45-04:19: Imports
04:19-05:39: Epochs
05:39-08:39: Download and Prepare Dataset
08:39-09:55: Dataset Structure of YOLOv5
09:55-13:59: Helper Function for Logging results
13:59-17:57: Clone YOLOv5 Repo
17:57-26:24: Train the model
26:24-33:20: Training Process
33:20-36:06: Training Summary and results
36:06-48:09: Inference

About Us:
🖥️ Our blog - https://learnopencv.com we also share tutorials and code on topics like Image Processing, Image Classification, Object Detection, Face Detection, Face Recognition, YOLO, Segmentation, Pose Estimation, and many more using OpenCV(Python/C++), PyTorch, and TensorFlow.

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Do you have any questions, tips, or ideas about YOLOV5?
Have other questions not covered in this video?
Let us know in the comments section below!

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