title: Classifying images with very similar features belonging to different classes
body: <p><a href="https://i.stack.imgur.com/GiJW8.jpg" rel="noreferrer"><img src="https://i.stack.imgur.com/GiJW8.jpg" alt="example image"></a></p>
  
  <p>I have a dataset in which i need to classify certain set of labelled images. Currently this is done by human experts so the dataset available is of good quality. The images have some very similar features. </p>
  
  <p>To state an example, we could assume that the amount of rotting of an apple or tomato is been categorized as very low, low, medium, high and very high (5 classes) and very similar images exist in the adjacent class pairs viz; (very low &amp; low, low &amp; medium, medium &amp; high, high and very high)</p>
  
  <p>Is there a way to overcome this? </p>
  
  <p>Seems challenging since differentiating between the adjacent classes is very complex and confusing since a very similar image exist in more than one class.</p>