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Questions tagged [image-classification]

The tag has no usage guidance.

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best approach for CNN training with multiple subcategories and one category

I need to classify pictures into 2 categories: approved and rejected. Rejected category has different type of images which are not allowed (subcategories), for example nude or gore or anime etc. What ...
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6answers
3k views

Why do most published works in medical imaging try to reduce false positives?

In medical image processing most of the published works try to reduce false positive rate (FPR) while in reality false negatives are more dangerous than false positives. What is the rationale behind ...
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0answers
10 views

Finding outliers in Image dataset

I have been working on an image classification tasks for which I am extracting the image frames from the video stream collected for different classes. I have already trained an image classification ...
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1answer
22 views

Selection of base model for transfer learning

Is there a golden rule which gives intuition on which base model needs to be used for a give image classification problem. Most of the articles gives the below details which says how to train the ...
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0answers
13 views

Improve accuracy of Keras multiclass image classification with pretrained VGG16 conv_base

In the moment, I'm training my first "larger" image classification model with Keras (22 classes, 2000 train samples, 500 val samples each class). I use a pretrained model (VGG16). My current model is ...
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0answers
20 views

Difference between three equivalent ResNeXt blocks

https://arxiv.org/abs/1611.05431 I have been reading this article and have a question about the following three equivalent ResNeXt blocks. In the article, it says Under this simplified case, ...
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0answers
21 views

Image classification using surf feature in python

I have a fish image dataset and I would like to classify the fishes in them. The images have another object in them as well (this common object is in all of the images for all classes). I used a ...
5
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2answers
65 views

Procedure for Designing CNNs

Are there any standard procedure for designing a CNN? I wrote some Python code for classifying speech signals using the 1D convolutional model in the Keras environment, but I can't meet the accuracy ...
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1answer
52 views

Improving the results of CNN [closed]

Edit 2 I solved my problem. The issue was caused by the validation_generator. I used the method flow_from_directory with shuffle = true. By changing the value to false and calling the method ...
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0answers
9 views

tfrecord file size larger than the original data size and how to reduce this size?

tfrecord file size larger than the original data(video-frames) size. Is there any way to compress or reduce tfrecord file size. Do you have any suggestions or ideas?
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0answers
20 views

Pre trained neural networks to recognize certain things

How do you approach the problem or is not classification? For example, I would like to recognize if a face has makeup. But, in order to do this, it would first need to be able to recognize if it is a ...
5
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0answers
38 views

How to arrange the dataset/images for CNN+LSTM

I am working on an image classification problem using Transfer Learning with Resnet50 as base model (in Keras) (For example Class A and Class B). There is a time factor involved in this ...
2
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1answer
53 views

Having trouble understanding None in the summary of my Keras model

The above code is a sample of a CNN model built using Keras. The first layer is a convolutional layer which will receive images of input_shape = (64, 64, 3), thus ...
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0answers
22 views

Keras functional API multi-input size error

I'm trying to define a multi-input model on a list of different arrays, all with the same shape (n_points, size, size, 1). I defined this model using the ...
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1answer
25 views

keras flow_from_directory returns 0 images

When I try to use the following snippet of code to try to predict on a batch of images, I get a message saying that no image were found. ...
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0answers
11 views

Plant Disease Detection - Machine Learning [migrated]

Does anyone knows a good dataset used to detect disease in plants? I'm using PlantVillage but it seems that the pictures are laboratorial and because of that can't be used in a real situation. Thanks ...
3
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1answer
61 views

Make the CNN to say “I don't know”

I am currently working on an image classification problem. To ease the implementation I used transfer learning in Keras with ...
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0answers
31 views

dealing with pre-trained model for grayscale images

I would like to do transfer learning using one of the novel networks such as vgg, resnet, inception... The problem is, my images are grayscale (1 channel) since all the above-mentioned models were ...
1
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1answer
41 views

Default value of learning rate in adam optimizer - Keras

I am working on a image classification problem using Transfer Learning. Parameters used given below: Adam optimizer with learning rate - 0.0001 ...
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1answer
18 views

How to apply object detection? [closed]

I am struggling on object detection in an image, but not sure which model to use. I tried to design a model from scratch, CNN, but it could not meet my requirements. I need a right direction or step ...
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0answers
17 views

Facial Recognition Using One shot Learning Research Paper

1) I am looking for a latest Research Paper for "Facial Recognition Using One shot Learning" for my semester Project. I want to implement that paper and want to improve that. i have searched on ...
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0answers
15 views

Transfer Learning with CNN layer trainable True - Accuracy not improving

I am working on a image classification problem with 4 classes. And I am using Transfer Learning (Resnet50) to train the model. Below are the observation. Pre-trained weights are from ...
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0answers
15 views

Why does SimpleNet achieve accuracy 0.9+ but AlexNet does not?

I am trying to classify some 224x224 RGB images. I have 3 potential labels, but am currently only supplying training images for 2. My training set has approx. 2K images for both labels. When I train ...
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1answer
18 views

Smoothen the Classification output

I am working on an image classification tasks in which I have 4 classes (For example A, B, C, D). I used CNN model (transfer learning) to train the model and predict the video frames. Ideally, there ...
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4answers
555 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 ...
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1answer
14 views

What does it mean to be “stable to deformation”?

In the context of image classification, what does it mean to be stable to deformation? Say I were trying to classify digits, what would the difference be between an operation that is stable vs ...
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1answer
60 views

Maximize Precision Deep Learning

For some binary image classification problems having close to 100% precision is super important and recall is much less important. What are best practices for maximizing precision? Setting the ...
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0answers
33 views

OS Error: cannot identify the image file <io.BytesIO object at )x00000021C80038150>

I am getting an error. I have tried all the previous solution on internet but it's not working. I guess the problem is with image = Image.open(myvar) but not ...
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1answer
47 views

Neural Net Accuracy: Test Set vs Real World Data

Neural Net accuracy is high on test set but low on new real world image examples. Looking for advice regarding what generally causes this scenario and how to fix it. Sampling basis? Training/test ...
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0answers
14 views

How cnn feature map feed to lstm cell in tensorflow?

If possible suggest some good documentation about tensor shape.
2
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1answer
33 views

Preprocess image data to classify objects based on shape

Currently I'm trying to build a neural network that is able to classify different types of bottles on an image solely based on the shape. The bottles have no label and at first I only used beer and ...
2
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0answers
54 views

Audio files and their corresponding spectrograms for image classification process

Suppose I have a dataset of audio files that I have to use for whale sound classification. I am choosing the strategy of treating it as an image classification problem by using their corresponding ...
0
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1answer
31 views

Building Image Dataset In a Studio

I'm currently working in a problem of Object Detection, more specifically we want to count and differentiate similar species of moths. We are already testing some ...
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0answers
49 views

Local Binary Patterns features using matlab 'extractLBPFeatures'

I am trying to understand the extractLBPFeatures function to extract the 59 uniform features, here is a simple code that extracts the 59 features from an image <...
2
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0answers
16 views

Where should we release our video dataset for activity recognition?

We have an activity recognition dataset made of tens of thousands video clips. Which are the alternatives to release it to the research community? Is there any public website? I saw for instance ...
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0answers
14 views

Local Binary features with unit16 images vs unit8 images

I have unit16 image dataset, and I would like to extract LBP features from it using the Matlab function extractLBPFeatures, which uses uniform LBP (59 features). ...
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0answers
14 views

Local Binary Patterns features

I have a dataset of images that differ in sizes, and when I extract the local binary pattern (uniform local binary 59 feature) from them I get several features as zeros, is it acceptable as features, ...
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0answers
34 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 ...
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1answer
18 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
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1answer
49 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 ...
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0answers
14 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 ...
1
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1answer
30 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
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1answer
31 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
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1answer
46 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 ...
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0answers
26 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
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1answer
14 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 ...
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1answer
42 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: ...
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3answers
60 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-...
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1answer
198 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 ...