YOLOv4 in the CLOUD: Build and Train Custom Object Detector (FREE GPU)

The AI Guy · Advanced ·📄 Research Papers Explained ·6y ago

Key Takeaways

This video demonstrates how to train a custom YOLOv4 object detector in Google Colab using Darknet, covering setup, dataset gathering, configuration, training, validation, and deployment. The tutorial utilizes free GPU resources in Google Colab for efficient training.

Original Description

Learn how to train your very own YOLOv4 custom object detector in Google Colab! Get yolov4 built with darknet and running object detections in minutes. Walk-through the steps to gather your own custom dataset, configure YOLOv4 for training, and then train your own custom object detector to detect whatever classes and objects you want. ALL WITH FREE GPU! This tutorial covers it all. #yolov4 #objectdetection #cloud THE GOOGLE COLAB NOTEBOOK: https://colab.research.google.com/drive/1_GdoqCJWXsChrOiY8sZMr_zbr_fH-0Fg?usp=sharing In this video I cover: 1. Setting up Google Colab as a Cloud VM with Free GPU. 2. Commands to Build Darknet 3. How to Gather Custom Training and Validation Datasets 4. Configuration for Custom YOLOv4 Training in the Cloud 5. Training Custom YOLOv4 Object Detector 6. Validating Custom Model with mAP 7. Running Custom Model with Detections ----------Resources---------- Github Code Repository: https://github.com/theAIGuysCode/YOLOv4-Cloud-Tutorial Tutorial for YOLOv4 Pre-trained Model, Running on Video, Formatting Output and Detections etc.: https://www.youtube.com/watch?v=mKAEGSxwOAY Generate Open Images Custom Dataset (recommended):https://www.youtube.com/watch?v=_4A9inxGqRM Create Dataset with Manual Annotations: https://www.youtube.com/watch?v=EGQyDla8JNU The Official YOLOv4 paper: https://arxiv.org/abs/2004.10934 If you enjoyed the video, toss it a like! 👍 To Subscribe: https://www.youtube.com/channel/UCrydcKaojc44XnuXrfhlV8Q?sub_confirmation=1 Thanks so much for watching! - The AI Guy
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This video teaches how to train a custom YOLOv4 object detector in Google Colab, covering all steps from setup to deployment. It provides a comprehensive guide to building and training a custom object detector using Darknet and free GPU resources.

Key Takeaways
  1. Set up Google Colab as a Cloud VM with free GPU
  2. Build Darknet
  3. Gather custom training and validation datasets
  4. Configure YOLOv4 for custom training
  5. Train custom YOLOv4 object detector
  6. Validate custom model with mAP
  7. Run custom model with detections
💡 Using free GPU resources in Google Colab can significantly speed up the training process of custom object detectors like YOLOv4.

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