8. Inferencing Using Trained Model Yolo v7 | Object Detection | Computer Vision

Показать описание

Check out my other playlists:

This channel focuses on providing content on Data Science, Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Natural language processing, Python programming, etc. in Bangla and English.

My mission is to provide inspiration, motivation & good quality education to students for learning and human development, and to become an expert in Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Natural language processing, Python programming, and so on.

#dswithbappy aims to change this education system of Bangladesh.
I believe that high-quality education is not just for the privileged few. It is the right of everyone who seeks it. My aim is to bring quality education to every single student. All I need from you is intent, a ray of passion to learn.

Thanks!
#dswithbappy

Connect with me here:

🙏🙏🙏🙏🙏🙏🙏🙏
YOU JUST NEED TO DO
3 THINGS to support my channel
LIKE
SHARE
&
SUBSCRIBE
TO MY YOUTUBE CHANNEL

Рекомендации по теме

Комментарии

Thank You! It's difficult getting everything from official github repo. Felt very useful, Thanks again ❤❤

CharithaJanapati

Thanks a lot for explaining yolo from scratch <3

aniruddhashelke

Sir, can you please tell me how to calculate the overall accuracy of the particular trained yolov7 model after testing an image in Google colab.

akshayakki

I trained the model well but, after detection and displaying the image, I get the image without results. I don’t know what the problem is

ayaelserwy

8. Inferencing Using Trained Model Yolo v7 | Object Detection | Computer Vision

8. Inferencing Using Trained Model Yolo v7 | Object Detection | Computer Vision

PyTorch vs TensorFlow | Ishan Misra and Lex Fridman

Train a custom object detection model using your data

But what is a neural network? | Chapter 1, Deep learning

BERT Neural Network - EXPLAINED!

The Unreasonable Effectiveness of Prompt 'Engineering'

#8 Fault interpretation from seismic using a 3D CNN trained on synthetic models.

When M1 DESTROYS a RTX card for Machine Learning | MacBook Pro vs Dell XPS 15

AI Webinar: Model to Production: Optimizing, Deploying, and Scaling ML Inference

Neural Network In 5 Minutes | What Is A Neural Network? | How Neural Networks Work | Simplilearn

Transformers, explained: Understand the model behind GPT, BERT, and T5

I got my machine learning model deployed! | Airbnb Amenity Detection Part 8

Lecture 8 - FILIP: Fine-grained Interactive Language-Image Pre-Training

07.11.2023 Training and inference of large language models using 8-bit floating point

This tool will help improve your critical thinking - Erick Wilberding

Claims, Evidence, and Reasoning.

How To Run TensorFlow Lite on Raspberry Pi for Object Detection

How To Train an Object Detection Neural Network Using TensorFlow (GPU) on Windows 10

Tutorial 28- Create CNN Model Using Transfer Learning using Vgg 16, Resnet

Deep Learning | What is Deep Learning? | Deep Learning Tutorial For Beginners | 2023 | Simplilearn

Introduction to Inductive and Deductive Reasoning | Infinity Learn

Improve Comprehension & Reading ► Top Tips | Learn English

Rules of Inference - Definition & Types of Inference Rules

Hidden Markov Model Clearly Explained! Part - 5