Questions tagged [image-classification]

For questions about image classification: a decision problem where an algorithm must decide to which class ('cat', 'chair', 'tree') an input image belongs.

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41
votes
2answers
37k views

How to prepare/augment images for neural network?

I would like to use a neural network for image classification. I'll start with pre-trained CaffeNet and train it for my application. How should I prepare the input images? In this case, all the ...
11
votes
1answer
3k views

Reason for square images in deep learning

Most of the advanced deep learning models like VGG, ResNet, etc. require square images as input, usually with a pixel size of $224x224$. Is there a reason why the input has to be of equal shape, or ...
6
votes
4answers
621 views

What are the possible ways to detect skin while classifying diseases?

I am working on a skin disease classification problem where I have successfully created a classifier ( TensorFlow + Keras ) which can classify images of two skin diseases. The sample image needs to ...
2
votes
2answers
2k views

How does YOLO algorithm detect objects if the grid size is way smaller than the object in the test image?

In YOLO algorithm how do these grids output a prediction if some grids only see a small black portion of the car if the model was trained on datasets with full images?
2
votes
2answers
742 views

How to Classify an Image in a Class and a Subclass?

I am a beginner in Machine Learning and I have a situation where an Image needs to be classified into first a super class, then a subclass. For Example, I have a set of images of fruits, containing ...
7
votes
4answers
2k views

Build a tool for manually classifying training data images

I have a large number of images that I need to classify for training a clustering algorithm, and I would like to do so offline (the data is proprietary). Basically, I'd like to build a desktop survey ...
6
votes
1answer
4k views

Data preprocessing: Should we normalise images pixel-wise?

Let me present you with a toy example and a reasoning on image normalisation I had: Suppose we have a CNN architecture to classify NxN grayscale images in two categories. Pixel values range from 0 (...
3
votes
1answer
543 views

“other” class in Image classification

In the MNIST dataset, you have 10 defined classes, one for each digit. But you don't have a "not a digit" class. It seems that most image classification datasets are the same. But in a business ...
3
votes
3answers
2k views

Faster-RCNN how anchor work with slider in RPN layer?

I am trying to understand the whole Faster-RCNN, From https://www.quora.com/How-does-the-region-proposal-network-RPN-in-Faster-R-CNN-work Then a sliding window is run spatially on these feature ...
3
votes
1answer
630 views

Multi Class + Negative Class Image Classification Strategies

I have seen a recurring theme in real-world problems I've worked with, where the problem looks something like "build an image classifier that recognizes classes A, B, and C but if the input is not ...