Stack Exchange Network

Stack Exchange network consists of 175 Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers.

Visit Stack Exchange

Questions tagged [image-classification]

The tag has no usage guidance.

1
vote
0answers
9 views

Need help with confusing dataset formats for Images and annotations

I have a more general question, which I could not answer after quite a bit of google. Actually, I got more confused. I hope you can share some light. I am familiar with deep learning, Keras but come ...
0
votes
1answer
12 views

How to Build Mobile Application for Image Recognition?

I want to write an application on (Android) phone for image recognition. The (Keras) model itself is written and trained on a desktop machine and works satisfactorily with standard images. However, I ...
2
votes
1answer
20 views

How to visualise GIST features of an image

I am currently working on a image classification application using deep learning algorithms (either by using GIST features or CNN). I need help in understanding the below queries. I have extracted ...
1
vote
0answers
12 views

classification of groups of images

I have been looking through research and cannot find too much on this topic. I believe that I might be searching for the wrong terms. What I am trying to find is any literature on classifying a ...
0
votes
1answer
18 views

Character Fonts Classification - low accuracy [on hold]

I am trying to develop a multi-class classification model with keras. The task is similar to MNIST but applied to this character font image dataset. I have 153 classes and around 900k entries. I am ...
0
votes
0answers
18 views

How to deal with classification where all target classes are independent (keras & image recognition)

Ultimately, I want to get a probability for each class for each observation. All of the classes are independent of each other so an image can be classed as one, some, or all of the classes. I would ...
0
votes
0answers
14 views

nih chest xray classification in r [closed]

I am a beginner in neural networks, I have to make a project of classify xray using the nih chest xray dataset in r, can I use application vgg19 model, or else how should I proceed?
0
votes
0answers
20 views

Optimisation of Image classifier CNN

I built a convolutional neutral network, now I want to optimise the model using genetic algorithm and Bat algorithm. How should I do it? I am using following packages in code: tensorflow numpy tflearn ...
1
vote
1answer
23 views

Designing a pretrained DNN for image similarity

I am pretty new to deep learning and really hope that you can help me. I want to write a python program that lets me choose an area in a reference image. This subimage of variable size should then be ...
2
votes
1answer
29 views

What's the right way to setup an image classifier by multiple params?

I'm very new to the data science and machine learning, so apologies for my ignorance. What I'm trying to understand is how to setup an image classifier system (maybe based on CNN) which will classify ...
4
votes
1answer
43 views

Image Matching for similar products

Is it technically possible to find out similar products online based on an given image? Say the first link is a hoodie for women selling on Amazon. I want to do two things. Based on the image, I ...
0
votes
0answers
10 views

Image classification using Semantic Segmented Images

Can we use the semantic segmented images directly to perform image classification using CNN model? Updating the question: I am trying to classify images as below: a. Input : Images taken from camera ...
0
votes
1answer
7 views

Choose CNN architecture first, then optimize parameters - validation vs test performance to pick architecture?

I am doing a few experiments on medical data. I am about to transfer learn the pretrained networks for my problem. Firstly, I have to pick a network architecture. Secondly, I would like to optimize ...
0
votes
0answers
14 views

OCR and Barcode extraction from paper form

I want to recognise (OCR and barcode) a set of forms all the same structure. The form is the following (image quality can be improved): I want to extract each of the barcodes and their prepented ...
1
vote
1answer
39 views

VGGnet in classification of images of new class

I am using a Keras model with VGGnet as base model for image classification. Code is given below: ...
3
votes
3answers
47 views

How to set hyperparameters in SVM classification

I am studying image classification using SVMs and it is generally defined as so... N = number of training examples W = is the weights f(x, W) = dot product λ is explained to be set through cross-...
1
vote
1answer
33 views

predict gives the same output value for every image (Keras)

I am trying to classify images and assign them label 1 or 0. (Skin cancer or not). I am aware of the three main issues regarding having the same output in every input. I did not split the set and ...
0
votes
2answers
19 views

Image Classification on non real images

I was wondering how image classifier networks perform on images that are not photographs. For example if you were to feed a drawing of a car or a face to an image classifier that was only trained on ...
0
votes
0answers
9 views

How to infer the convolutional structure for non-image data?

Imagine I have a large dataset of labeled images, and I process each image by mixing up the pixels. Each image is processed in exactly the same way (with a pixel-to-pixel table). Is it possible to ...
3
votes
1answer
61 views

The most used loss function in tensorflow for a binary classification?

I am working on a binary classification problem using CNN model, the model designed using tensorflow framework, in most GitHub projects that I saw, they use "softmax cross entropy with logits" v1 and ...
0
votes
0answers
10 views

process images with spiking neural network

I want to process images with spiking neural network, but I could not find a simple source. If you are knowledgeable about this, can you suggest a book about the mathematics of snn?
0
votes
1answer
38 views

Can pytorch / keras support dataloader object of Image and Text?

Is there a way of creating a dataloader object, or the equivalent in Keras, where every observation is an image AND some text? I could create two models to do classification but I want to see if I can ...
1
vote
1answer
29 views

Meaning of equation for CNN probabilities

So the first equation above refers to a CNN (rather a committee of CNNs) for image classification. I am unable to understand exactly what the author is trying to do in the first equation. So far, I ...
0
votes
0answers
11 views

Fully convolutional networks with partially segmented data

I am working on classifying satellite imagery using a fully convolutional approach. The images in question are ~8000x8000 pixels and the training data does not label every pixel in the image. Also, ...
0
votes
0answers
12 views

Transfer learning on a CNN for computer vision problems

Can a pretrained CNN for semantic segmentation be used for image classification, given the dataset is similar for both ? I am thinking that answer should be 'yes'. But when I tried replacing decoder ...
1
vote
0answers
8 views

Neural network with multiple inputs from various angles, contradictory features

Is there a way for the neural network to communicate with each other. I.E. An image of a rectangular prism can look like a cube from one perspective, but as soon as it's rotated, we know it's a ...
1
vote
0answers
21 views

Image preprocessing: How to resize / align / cut images of various sizes?

I want to create a new dataset for image recognition. If I have Object A that I want to recognize in images, and multiple images of various different sizes, how do I preprocess them so that they ...
1
vote
1answer
67 views

Best CNN architecture for binary classification of small images with a massive dataset [closed]

The title has it all... Any tip is welcomed. Should I use a very deep convolutional neural network ? Use a large amount of filters ? Parallel layers ? Dataset examples: 1) "Good" 2) "Bad"
2
votes
1answer
64 views

keras model only predicts one class for all the test images

I am trying to build an image classification model with 2 classes with (1) or without (0). I can build the model and get an accuracy of 1. which is too good to be true (which is an issue) but when I ...
2
votes
1answer
27 views

How to properly resize input images for transfer learning

I have to resize some images of different size to 224x224 before they can be passed as input for VGG19, and then apply ...
1
vote
0answers
24 views

How to filter out babies from image dataset

I'm trying to perform a large image dataset clean up (filtering all the minors\babies from it). My initial approach was to utilize age detector, such as https://github.com/deepinsight/insightface/...
0
votes
0answers
5 views

How can I find a large dataset of medical images for cancer classification [migrated]

I am looking for a large image dataset >20K to be used for cancer classification algorithm. Where can I look given that all public available datasets are maximum 1K in size which is much less than ...
0
votes
0answers
6 views

Discrete wavelet transform for image texture analysis

I am planning to use the discrete wavelet transform to extract textural features from grayscale images for classification purpose. However, I am not sure which type of wavelet should I choose? most of ...
2
votes
2answers
62 views

How can I train a model for localizing objects(classification not required) in Python

I need to make a model that creates bounding box around objects(but does not classify them) for a competition. Which libraries or pre-trained models should I use. I need values of x1,x2(x1+w),y1,y2(y1+...
0
votes
0answers
40 views

Images similarity using SIFT and Annoy

Given an image, I need to get the most similar ones with "score" or percent of similarity I'm using SIFT to get the descriptors from all the images and storing them in Annoy as individual vectors ...
0
votes
0answers
68 views

image dataset uploading in google colab

I want to use a dataset in colab for training CNN. How to upload a dataset of gestures of 26 labels where each label has over 2400 images. Total size of data is around 1.5 GB but there are too many ...
1
vote
2answers
57 views

How to investigate what has been learnt in CNNs?

My CNN was trained using close-up images of dogs. For testing, we input an image with a dog next to its owner and it was classified as a dog. How is that possible? ...
1
vote
3answers
44 views

Where/How to start? [closed]

I want to create an application that recognises diseases from images, I know this require databases of images and image segmentation but where do I start? What should I start learning? I know nothing ...
0
votes
1answer
18 views

How to visualize segmentation result with CrossEntropyLoss

I know this question already has a clear answer about how to visualize segmentation result. My question is if I'm using the CrossEntropyLoss as the loss function, after training. The predicted ...
1
vote
0answers
20 views

Detect presence of text in image [closed]

I want a simple image classifier to detect (No need to recognize) whether an image contains text or not. Some of the approaches I thought of: Single class image classifier with a Threshold Fast/...
1
vote
2answers
21 views

Deep learning performance on classifying simple geometric figures

I'm trying to find papers or just performance data on classifying simple geometric shapes, e.g. the first six convex regular polygons. The input data is computer graphics generated, producing high ...
0
votes
0answers
14 views

Creating an image data set from a set of 2D points?

I have N sets of x and their corresponding y coordinates. e.g. x_i = [1.1, 2.3, 3.5] & y_i = [-1.1, -3.2, -5.2]. These coordinates represent an image, which may belong to one of two classes. I ...
1
vote
2answers
34 views

Pre-processing on MRI images

I have MRI images of brain tumors collected from a hospital (not a benchmark dataset). And I am planning to use them to predict/classify tumour types using a typical machine learning approach: texture ...
0
votes
0answers
14 views

Recognition of objects in almost plain background

I want to recognize climbing holds in a climbing wall. I thought about implementing my own heuristic algorithm for background detection because it's almost plain, but I was wondering if this kind of ...
1
vote
0answers
27 views

Make image label prediction from Chainer CNN model

I have train dataset of 8000 images and labels. Validation set consists of 1957 images and labels. The test set contains 2487 images. Each image contains White Blood Cell images. WBC is divided innto ...
0
votes
0answers
24 views

Using deep learning to classify similar images

I'm currently using Keras to build a deep learning network (CNN for now) in attempts to classify images which are similar-ish, produced through simulation. The images in question are generated as ...
1
vote
0answers
197 views

“10-year-challenge” data for age algorithms? [closed]

Both on FB and IG, I see people posting themselves before 10y and now. I have no idea how this challenge started. Could it be a way to collect a colossal amount of data, that could be used to train ...
0
votes
1answer
21 views

Generated training set on convnet

I have a dataset with roughly 800 images that are classified in 18 classes. The classes are spread unevenly, with some classes having 30 images and others having 5. In order to increase my dataset,...
3
votes
1answer
50 views

Does it make sense to train a convolutional neural network on lo-res, use on hi-res pictures?

this is my first machine learning project and actually also my first question here. I am a novice to machine learning with a background in theoretical physics. I want to use a CNN to detect scratches ...
2
votes
1answer
52 views

Training a floor detection model: use full room images or only the cropped floor?

I'm trying to build a floor type image classification model.There's an open dataset called OpenSurfaces containing images segmented by the material type of every item appearing on a room. Something ...