title: How do I understand whether yolov4 training is overfitting?
body: <p>I'm training to make human detection with YOLOv4 in the custom dataset. I used this command to train the dataset:</p>
  <pre><code>!./darknet detector train data/obj.data cfg/custom-yolov4-detector.cfg yolov4.conv.137 -dont_show -map
  </code></pre>
  <p>At the end of the training, it gives this chart:</p>
  <p><a href="https://i.stack.imgur.com/1ZVOa.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/1ZVOa.png" alt="enter image description here" /></a></p>
  <p>Validation gives 97% accuracy at most. But when I observe the test data, it gives 80% accuracy approximately in video recording. Is it overfitting? How can I solve this problem? I think that the accuracy should grow up increasingly in the chart.</p>