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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My keras CNN model gives good predictions in 10/11 classes but missleads to the 11th class. What can I do to improve?
My project involves classifying printed numerical characters from real-life essays. My dataset includes 11 classes ('0' - '10'), with the label '10' representing the '/' symbol.
The issue is that ...
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How specific should I be with my region of interest in image data for training a CNN model for better accuracies?
I am trying to train a 3D CNN model for classification of cancer stages on a dataset that comprises of head to neck CT image series which is split into 5 classes corresponding to the stages of cancer....
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Validation accuracy can't increase above 70%
I am building a classifying model to predict images over 3 classes. The data is balanced, with 10.5k images for train ( 3.5k for each ), 3k validation images ( 1k each ).
I increased my ...
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lost "target value" role after merge data
Hello there,
Currently i am trying to learn Orange how to classify the quality of products we produce b image analysis.
I have a set of images which i analyse via image embedding. This gives 1 dataset....
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How to work with SAR and optical images? Trying to do a Multimodal CNN
I´ve been trying to come up with a image classification algorithm that uses SAR and optical images, but I havent been able to write a code that works, where could I look for guides about multimodal ...
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Validation accuracy stuck in tf keras
So I have a model to classify images into 3 classes. I have 10.5k train images ( 3.5 per each category ) and 3k ( 1k per each category ) validation images but I can't increase my val_acc no matter ...
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Accuracy and test_accuracy gives a result =1
I've developed a code for classifying hyperspectral images using three different convolutional neural network (CNN) architectures: 1D, 2D, and 3D. The code has two main parts:
Preprocessing and data ...
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I want to create a system for classifying bone fractures What pre-processing steps can I use to process images?
I want to know where I should put the image preprocessing code in the decision tree code
How to extract features from images and classify them
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Preparing image datasets for a CNN
I'm struggling to decide on how to setup my model. I'm learning by myself so hoping to get some advice.
I am building an image classifier using a CNN with the aim to classify food images as healthy or ...
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Converting multiple binomial logits to multinomial
I am faced with a image classification problem with 3 classes. My existing network consists of 3 'branches' each corresponding to one of the classes. Each of these branch outputs a binomial logit ...
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How can i retrieve incorrect labelled predictions on new unseen data on image classification when i want to retrain my model later on?
I've recently made a binary image classification model with transfer learning. The model is used on an api and the predictions gets saved into a database. The problem is that it predicts images ...
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HCC-TACE-datase
Is anyone worked with CT images. I am having problem in dicom images. I want to make a similar slice for all my segmentation image and liver image. Is there any tutorial or suggestion for that?
Thank ...
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Image Generation Models
I am looking for a list of different image generation models and how I can test them? For example:
DALL-E (accessible via ChatGPT4)
Stable Diffusion (open source)
CLIP? - but idk how to access/test it....
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Resources for writing CNN for semantic segmentation
I am intermediate/advanced in Python and new to machine learning. Most of what I know about deep learning I learned through Deep Learning with Python by François Chollet. I am trying to do image ...
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While working on binary image classification, the class mode set to binary incorrectly labels the images, but does it correct on categorical
I am currently working on a binary image classification. My problem is that when i use data augmentation, it incorrectly labels the images when it is set to binary.
The things i have tried:
Looked ...