Udemy - Custom Object Detection Using YoloV7 Project From Scratch

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Udemy - Custom Object Detection Using YoloV7 Project From Scratch (Size: 630.1 MB)
  1. EXECUTE YOLOV7 PROJECT IN PYCHARM IDE.mp4 71.8 MB
  1. INTRO TO GOOGLE COLAB.mp4 24.5 MB
  1. INTRO TO ROBOFLOW WEBSITE.mp4 36.8 MB
  1. Introduction To Course.mp4 31.4 MB
  2. ACCOUNT CREATION IN ROBOFLOW WEBSITE.mp4 38.1 MB
  2. CREATE PROJECT IN GOOGLE COLAB.mp4 62.1 MB
  3. DATASET CREATION FOR CUSTOM OBJECT DETECTION.mp4 100.6 MB
  3. TRAIN DATASET WITH YOLOV7 IN GOOGLE COLAB.mp4 49.8 MB
  4. ANNOTATION IN ROBOFLOW WEBSITE.mp4 77 MB
  4. VALIDATE YOLOV7 MODEL IN GOOGLE COLAB.mp4 39.9 MB
  5. DOWNLOAD YOLOV7 PYTORCH FILE.mp4 28.7 MB
  5. TRAIN DATATSET WITH YOLOV7 MODEL.mp4 41.7 MB
  6. VALIDATE TRAINED YOLOV7 MODEL.mp4 27.8 MB
  Bonus Resources.txt 409.6 B
  Get Bonus Downloads Here.url 204.8 B

Description


Custom Object Detection Using YoloV7 Project From Scratch

https://DevCourseWeb.com

Published 12/2023
Created by ARUNNACHALAM SHANMUGARAAJAN
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 13 Lectures ( 48m ) | Size: 630 MB

Learn Custom Object Detection Using YoloV7 Project From Roboflow And Google Colab

What you'll learn:
Understanding the basics of Roboflow website and Google Colab
Understanding the basics of object detection
Training the YOLOv7 model on the custom dataset, learning about hyperparameters, and monitoring the training process.
Understanding the importance of labeled datasets and learning how to annotate images to train a YOLOv7 model.

Requirements:
Account In Roboflow Website and Google Colab Website

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