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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35 views

How to approach new project in Medical Image analysis?

I am working on a project in medical image analysis - Breast cancer detection. And since I am the one who has proposed this project I was wondering, what would be the (data science) steps its ...
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How to interpret training results

I am working on an image similarity network. I have around 90,000 pairs of images contain an equal number of positive and negative samples. For learning the similarity between image pairs, I used the ...
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35 views

Can anyone direct me on how to got to [closed]

I am a newbie to python. I have uploaded about 2000 images into my google drive, assigned a variable to all content in the folder and tried to split the folder's content into training and testing, ...
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How do i get to make colab read my images from my google drive?

I havee about 2000 images, I have uploaded them to my Google drive. How do I make colab see and read these images. All the images are in one folder.
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Generic object detection - unspecified list of classes and high accuracy

As a part of a small project, I would like to create tags for a set of pictures (posters). I know that if I want to recognize a lot of objects I need to have a model that was trained on a large ...
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Understanding the significance of LeNet-5 w/ MNIST data set

I'm beginning to learn about conv nets and started with what I understand to be one of the seminal works: LeNet-5. However, my limited experimentation doesn't seem to show any advantage over a single ...
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31 views

Data Quality Assessment in Image Data

I'm working on a CNN model that classifies images. After scraping image files from the Internet, I found that many of them didn't look this way as described by the searching keyword (for example ...
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14 views

Is there a way to test out simple filters before committing to coding them?

Is there a way to test out simple filters before committing to coding them? Like if I want to estimate the feasibility of recognizing some features from images. Or to estimate the effort/...
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2answers
25 views

Can colored images have more than 3 channel values?

I was reading this well-known paper and noticed something in figure 1 below: It says in the caption (The number of channels is denoted on top of the box). You can see that the number of channels is ...
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1answer
15 views

Pretraining a neural network to teach it general information

Let's say that I want to train a neural network to recognize symptoms of severe dehydration in distance runners visually. Runners tend to finish races either overhydrated (hyponatremic) or dehydrated, ...
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Classifying satellite data

I have a large data set of RGB satellite data that classifies 64x64 pixel images with a spatial resolution of 10m per pixel into 10 classes (e.g. highway, industrial, river, forest). Now I want to ...
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1answer
23 views

How do I get the values of y_true and y_pred in the confusion matrix?

I am using the weka program and i want to know the values of y_true and y_pred through confusion matrix that appeared in the classification results , because I want to calculate the balanced ...
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Using Orange3 to embed the image, the raw data need to upload to a remote server?

the official document talk about : Image Embedding reads images and uploads them to a remote server or evaluate them locally. Deep learning models are used to calculate a feature vector for each image....
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Distinguish real building pictures from rendered ones

I need to train an algorithm to identify rendered building images from real pictures. Here's an example: A rendered picture A real picture The real pictures will vary from Good quality to Poor ...
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15 views

Best model for removing a consistent background image

I'm working on an ML driven background replacement from photos, where the background will always be consistent, but the objects in front of that background (in this case humans) will be different - ...
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2answers
43 views

Detect malicious GIFs

I was reading this article talking about a form of targeted internet bullying which involves sending flashing images via Twitter to people with epilepsy. I was wondering whether there is a way to ...
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3answers
50 views

Real purpose of pooling

Recently I had a doubt as to what is the real purpose of pooling layers in neural networks is? The most common answer is To select the most important feature To increase the receptive field of the ...
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1answer
40 views

Image classification on stock data

I am trying to classify stock images into 4 categories: Category 1: Image patterns which gives more than 10% profit next 3 day. Category 2: Image patterns which gives less than 10% profit but ...
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2answers
39 views

Multi-label classification based on single-label dataset

I'm looking for a solution to detect different moods/styles expressed by an image. Unfortunately, there is no multi-labeled dataset for this task. The scenario of defining a multi-label ...
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19 views

Why does streamlit effect Keras callback code?

I use Streamlit for an image classification project in Keras. I defined a lambda callback: ...
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1answer
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Does white balance correction improve the performance of visual object detection?

Visual object detecion aims to locate and recognize objects of interest in images. I wonder, does white balance correction contribute to better performance of visual object detection? Are there any ...
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early-stopping changes final epoch in training each time

I am training a CNN built using transfer learning with a VGG16 network as pre-trained model, and in the training I am using early-stopping as regularization technique. I have run several time the ...
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1answer
442 views

Exception: Data must be 1-dimensional appears when trying to make a submission [closed]

I am doing image classification, and until now I have built my network and evaluated it. The only thing that remains to do is to do the submission, so I have a blind test set which contains images ...
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27 views

create a .csv file for submission

I am trying to make a submission of a multiclass image classificaition problem, in which I have images belonging to four different classes which are four different weather conditions: HAZE, SUNNY, ...
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1answer
20 views

Where do I find the .csv file for the submission after creating it?

I am making a submission of a classificaition problem with CNN on Google Colab. So I have arrived at doing this: subm.to_csv('submission.csv', index=False) so in ...
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1answer
31 views

How do I make a submission of a CNN?

I have built a CNN to do image classification for images representing different weather conditions. I have 4 classes of images : Haze, Rainy, Snowy, Sunny. I have built my CNN and evaluated the ...
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22 views

How do I read accuracy and loss curves for a CNN?

I am using transfer learning and after evaluating the model I have the following plots which compare test and train accuracy and test and train loss: what I see is that between test and train ...
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27 views

Problem creating confusion matrix for a CNN

I am doing image classification with and I have a training set of 3200 images and a test set of 800 images. My code is this: ...
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1answer
23 views

Unsupervised Learning::Satellite Images::Single Bands

Has anyone has success with building models using KMeans for classification? I have images that only have one band and it continues to fail. My guess is that the issue is with both size of the image ...
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Validation Accuracy trending downwards in image classification on SageMaker

I am training image classification model using transfer learning and out of the box image classification model from Amazon SageMaker. My dataset consists of 120x120 images in 3 categories. 1240 ...
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2answers
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How do I turn images dataset into a numpy array?

I have a directory for a dataset of images, I I want to transorm it to a numpy array in order to be able to fit an image generator to it. What I have tried to do is the following: ...
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1answer
73 views

images from training set are different from images of test set

I am doing image classification with CNN and I have a training set and a test set with different distributions. To try to overcome this problem I am thinking about doing a standardization using ...
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9 views

Does Feeding Edge detected images to the CNNs make sense?

Are edge detected images fed to the CNN based architectures like VGG16, etc? I know that CNNs are able to detect features like Edges, lines, contours, etc but what will happen if one feeds edge ...
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30 views

performances evaluation of image classification with different distribution for train and test set

I am implementing a CNN to do image classification of 4 classes representing different weathers : Haze, Sunny, Rainy, Snowy. I have as training set 3200 images, and as test set 3038 images. The ...
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1answer
55 views

image classification with training set with 4 classes and test set with 3 classes

I have to do image classificaion with a CNN, and for doing this I have been given a training set with 4 classes and a test set with 3 classes. I am really confused because I don't know if this is ...
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Help with deep learning for motorbike inspection

First of all, I am very new in machine learning and data science, so I am really sorry if my question is completely stupid. I am doing an internship in machine vision, and people of my office want me ...
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46 views

Use of decision trees for classifying images [closed]

I am new at Machine Learning and reading about it I wonder if it is possible (and convenient) to use decision trees to classify images. For instance, to classify faces
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1answer
181 views

What does it mean the term variation for an image dataset?

I am working with convolutional neural networks, and I have seen that often we need to pre process the images before feeding them to the network. In particular, I have seen that often we have to do ...
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1answer
23 views

How to gauge the Complexity of Pre trained Neural Networks?

What does one mean when they are talking about the simplicity of the networks? Does it mean that the shallower the networks the simpler they are, or does it mean that lesser the number of trainable ...
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881 views

Why must a CNN have fixed input size?

I'm studying right now Convolutional Neural Networks. Why a CNN must have fixed input? I know that it's possible to overcome this problem (with fully convolutional neural networks ecc...), and i also ...
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20 views

Was the ImageNet challenge organized in 2018 and 2019?

Does anybody know if the ImageNet challenge was organized in 2018 and 2019? If so, what were the results/winning algoritms? If not, why? I could not find any references on the ImageNet website and on ...
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Detect blur image using ssdmobilenet and tensorflowlite

I have clear images of cards vs blurry images of card. My task is to capture photo when the image is not blurry, as you can see from the description I need this code to run in real time on android ...
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4answers
86 views

scaling images for image classification

I am trying to do image classificaition with a dataset that contains images of different sizes. The images are in a folder called Train, which contains 4 subfolders callsed HAZE,RAINY,SNOWY and SUNNY. ...
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1answer
13 views

How to extract face details from a image

I am trying to make a face login application that authenticates the user when matching the registered face and the given face. currently, the issue is I cant extract the face descriptions from the ...
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Using context to improve object detection and image classification

we are building an image classifier using the Tensorflow Object Detection API. Our images often appear in groups, e.g. a cluster of dogs playing in the grass. Ofter our model will recognize some of ...
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14 views

How to best use Large images in training set for deep learning

I would like to ask you about how I should deal with the images I have. They are really large. They have this shape: (3000, 4000, 3). I'm working on a multilabel classification model. And I want to ...
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1answer
28 views

Classification of images of different size

I am doing image classification using Convolutional neural networks, but I have a problem, because the images I want to classify are all of different sizes. My code is the following: ...
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1answer
15 views

Problem importing dataset in zip format

I am trying to import a image dataset in Google Colab in order to do image classification. The dataset is in my Google drive, so I do the following: ...
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15 views

Inference speed of CNN Model is varying time to time, why?

I have a light CNN classification model with not more than 131,000 parameters. When I try to run the model and check the inference speed, it is changing from time to time (14 to 17 fps). My laptop ...
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1answer
51 views

Why/When should I use VGG16 to do fine-tuning? [closed]

Why or When should I use VGG16 in my cnn? what is the pros and cons to use this model? I search but not found this answer. If you have references, I appreciate