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.

Filter by
Sorted by
Tagged with
0
votes
0answers
5 views

please let me know how to predict the image label name using VGG16 model? i am facing some error please check my approach [on hold]

first I have to save a model and load model. I have prepared the image for the VGG model. but i am gating results : array([[5.1101962e-36, 3.1134763e-12, 1.0000000e+00]], dtype=float32). I want to ...
0
votes
1answer
9 views

Metric/loss for bin classification

I have a model that has to classify inputs into one of 45 categories but those categories actually represent bins (e.g. bins 1, 2 and 3 are between 1 and 10, 11 and 20, 21 and 30 respectively). What I ...
-1
votes
0answers
8 views

How to make image classification using weka?

I have two hundred and fifty images, and extracted the features from them and put them in an Excel file, how to use the weka program so that the first 200 images for training and the remaining fifty ...
1
vote
0answers
10 views

List of CNN for Emotion/Sentiment recognition on images with performance on main datasets (IAPS, GAPED, EmoPics, NAPS)

There are more and more databases of pictures classified or rated with emotions. For instance, I know of 4 databases (IAPS, GAPED, EmoPics, NAPS) rating pictures on 2 dimensions: Valance (positive vs ...
-1
votes
1answer
19 views

Deploy local deep learning web app to web

So I've built a (relatively) simple web app with a deep learning image classifier, and I have it running on localhost. How do I upload this to the web so that I can link to it from my website? The ...
1
vote
1answer
78 views

What I'm doing wrong with my CNN Keras?

In my project I have 700 images for each class (pdr and nonPdr) totalizing 1400 images. To validation I've put 28 samples. The problem is that my validation loss and accuracy is unstable. This is my ...
4
votes
2answers
45 views

Trained Tensorflow model performs poorly on inference

I trained an image classification model using Keras with Tensorflow backend. The model got good accuracy on validation dataset as well as on the testing data, I save the entire model to ...
1
vote
0answers
5 views

Bags of visual words - counter intuitive result

I'm reading the frequently-cited paper Bags of Binary words for Fast Place Recognition in Image Sequences and have found something strange in the paper. The similarity measure is presented as: $s(v_1,...
0
votes
1answer
50 views

My CNN model Accuracy doesn't increase (high loss and low acc)

Well, I need to do a CNN to classify if a Image is from one or another class. But my model return high losses (6.~8.) and low accuracies (0.50 on max). I tried to include more layers, change my ...
0
votes
1answer
26 views

ValueError: Error when checking input: expected conv2d_1_input to have 4 dimensions, but got array with shape (142, 1)

I'm trying to pass all my images (71 for each class) from folder 'train' to model.fit. The method ReadImages get these images and resize them (because are too big 4288x2848).... But when i run my ...
3
votes
1answer
58 views

How many model parameters did Microsoft's 2015 ImageNet-winner network have?

In 2015 a team of researchers from Microsoft won the ImageNet contest with a network of 152 layers. How many parameters did their model have?
0
votes
1answer
26 views

Why my Keras CNN model isn't learning

My project have to decide if a image is 'pdr' or 'nonPdr', and I have 391 images (22 of PDR class, and the 369 of nonPdr).. In my first model i was trying this: https://stackoverflow.com/questions/...
0
votes
0answers
18 views

How to prepare training data for deep learning models

I am working on a project which involves the application of deep learning models. I have collected training data. In collected images, I have more than one object in interest. I am not very clear how ...
0
votes
0answers
11 views

How to convert raster image + shape files to a segmentation problem?

I have a problem converting raster image + shape files containing polygons and the class of each one to a segmentation problem to be able to classify crops. The data I have is composed of a raster ...
0
votes
0answers
11 views

Multilabel Image classification via multiple binary datasets

I want to make a multilabel image classification model that can detect many different labels. For each label, I can get at least 5000 positive examples and 5000 negative examples. However, my question ...
0
votes
1answer
30 views

CIFAR-100: What is the difference between vehicles 1 and vehicles 2?

The superclasses in the CIFAR-100 dataset are mutually exclusive and all but the vehicle ones are quite well defined by its label. Example: It is very clear why bees belong to the superclass ...
0
votes
0answers
15 views

How to build an image classification model from raster images and shapefile that contains labels?

I will first explain the problem and the data that I have. I have a satellite raster image of a land taken from sentinel2 that is composed of 14 bands, a train shapefile that is composed of polygons ...
0
votes
1answer
13 views

Deploy pretrained model to simple web app

As a small personal project, I wanted to try and deploy this image classification model with a simple web app (input image, output classification and heatmap). There are a couple pretrained models on ...
0
votes
0answers
7 views

Validation of Images generated using DCGAN

I have trained a Deep Convolutional Generative Adversarial Network(DCGAN) model and generated some images. Now, I need to validate these images if generated images ...
0
votes
0answers
33 views

What kind of NN architecture should I use to my problem?

I'am new to Data Science, and I'am trying to figure out how to solve my learning problem: My data set is CIFAR-100. Each image in the set got a vector of properties, a vector on $\mathbb{R}^n$. My ...
0
votes
0answers
10 views

Increasing the no. of FC layers increases the size of the model … Image Classification

I have trained a model using Transfer Learning. There are 13 Image classes and around 2000 images in Total. I have trained various models varying the FC layers and their dimensions. For ex: 1 ...
0
votes
0answers
21 views

Setting Up Training Data to Perform Image classification

I want to use Orange for an Image Classification project I am working on. I have a training image set and separate .csv with columns corresponding to the image (by name) and classifier. Wondering ...
0
votes
2answers
41 views

Does high accuracy metrics with small (but equally sampled) dataset means a good model?

I have been training my CNN with 200 images per class for a classification problem. There problem is a binary classification one. And with the amount of test data ( 25 per class) I am getting good ...
-1
votes
1answer
17 views

What is a color blob? Is it possible to use clustering algorithm to color blob detection problem?

Wiki gives this definition of blob detection In computer vision, blob detection methods are aimed at detecting regions in a digital image that differ in properties, such as brightness or color, ...
3
votes
0answers
75 views

Why is training and validation loss steadily rising (eventually to NaN) in this CNN of mine?

Dear ML and data scientists: I have 4 layers of gray scale images for every single biological specimen in my dataset. I am trying to train a 4-convolution CNN (see pytorch architecture below) to ...
1
vote
0answers
53 views

Intuitive explanation of Lovasz Softmax loss for Image Segmentation problems

Lovasz Softmax is used a lot these days for segmentation problem and the original paper is really bad at explaining why it works.
2
votes
0answers
20 views

Does object detection do a better job at image classification than image classification

I read in an article that object segmentation can do object detection better than object detection algorithms. I assume this is because there is more detailed information in the annotation images. I ...
0
votes
1answer
52 views

Keras binary classification model is not learning anything. How to improve my model?

I am trying to train a binary image classifier on a an imbalanced dataset of images which are really small in dimensions(the largest dimension is 40*70). I am augmenting images by grayscale, rescaling ...
1
vote
0answers
28 views

App or Service to QA 80,000 classified images?

I've been reviewing services and apps for the past week and my head is exploding. I just haven't found the right one yet, but I know it has to be out there, so I'm turning to the collective wisdom ...
0
votes
0answers
7 views

How to unify all masks from Mask R-CNN into one?

I'm trying to unite all masks that we've got with Mask R-CNN into one mask that would give True/False for the whole picture. I have separate masks with True/False and corresponding boxes with ...
0
votes
1answer
29 views

“Stationarity of statistics” and “locality of pixel dependencies”

I'm reading the ImageNet Classification with Deep Convolutional Neural Networks paper by Krizhevsky et al, and came across these lines in the Intro paragraph: Their (convolutional neural networks') ...
0
votes
1answer
33 views

Reconize a card from a video stream

I want to make an mobile app where you scan using the camera and it gives you the card you just scanned. (from a board game) I got a PNG of each and every single existing cards, but I don't really ...
1
vote
2answers
16 views

How to use a deep learning algorithm to cluster image *styles* in an unlabeled data set?

I have a hard problem, and I'd be interested in hearing people's thoughts. I have a set of images depicting a large variety of phenomena, but only a few styles. The images are already labeled by ...
3
votes
1answer
40 views

Super Resolution CNN vs Regular CNN

I am digging into finding a solution for background subtraction and one of the requirements is to not loose in quality of input image. Found that there is a specific type of CNN like Super Resolution ...
0
votes
1answer
57 views

Improving Validation Loss and Accuracy for CNN

I am new to CNNs and need some direction as I can't get any improvement in my validation results. I am trying to do binary image classification on pictures of groups of small plastic pieces to detect ...
1
vote
1answer
57 views

Pytorch - Loss is decreasing but Accuracy not

It seems loss is decreasing and the algorithm works fine. But accuracy doesn't decrease and stuck. ...
0
votes
0answers
3 views

Not sure how to use GLCM features to clasify large cuantities of textures

Im trying to create a script that given a texture returns similar textures. I have read some articles and I have found that, for textures, good ways to obtain features are to use LBP or GLCM. I have ...
0
votes
0answers
20 views

How do I export my data into .h5 format?

I am trying to make my data useful for to use in this model, i.e for Hierarchical Novelty Detection for Visual Object Recognition. I need to prepare my own dataset in a format like this: ...
0
votes
1answer
33 views

Classification problem using features with unequal sizes

I am relatively new to Machine Learning/ Deep Learning and currently I am working on a classification problem. I have many 2D images and each of them is a cross section of a specimen showing the ...
0
votes
0answers
13 views

How to correctly use depthwise convolutional layers

I am trying to speed up my CNN by replacing all convolutional layers with depthwise convolutional layers, which can require only as much as $10$% of the operations ...
0
votes
0answers
28 views

Multi-Model Learning | Text and Image | Mutually Differentiable Models | Is it possible?

Problem : Document classification of scanned financial documents using Text (OCR on the images) and Images. The documents are both structural (forms, tables), unstructured (letters, descriptions, ...
0
votes
1answer
75 views

Can we calculate iou and mean iou with only images and labels and without train and test csv file

Are train and test CSV files necessary for calculating IoU (Intersection over Union) and ...
0
votes
1answer
35 views

Is there an algorithm for categorizing unlabeled samples into K classes? [closed]

I am not sure if this would be considered unsupervised, or semi-supervised learning. I am looking for an algorithm that will take N input arrays of features, and then cluster samples(not features) ...
1
vote
1answer
41 views

after augmentation validation accuracy going down?

My main question is about augmentation. if I process the augmentation I believe it always better than less data but in my case the validation accuracy going down train : 7000 images , validation: ...
0
votes
1answer
23 views

predict numeric value from images

I have two questions: 1) I have images and I must predict a continuous value. What is the approach I must follow? Use for example a pretrained network like this? ...
1
vote
0answers
21 views

Combination of two CNN models outputs

I have an image data set that I want to classify into 3 classes: non-disease, disease-type 1, and disease-type2. I trained two separate CNN's models, one is classifying the 3 classes, and the second ...
1
vote
1answer
20 views

Quickest way of multi-labelling images?

I want to make a new dataset containg thousands of (different-sized) images. Now I need to assign multiple labels to each image. Of course I already looked at github etc. and there are good labelling ...
0
votes
0answers
10 views

How to get model predictions on all classes after applying Transfer Learning?

I have been following transfer learning with TFHub to implement transfer learning in my model for text classification. However, I do not understand how to get probabilities for all the classes (1000 ...
0
votes
1answer
67 views

CNN Architecture for Multiple Instance Learning

I have a binary classification problem where I have a bag of documents (image files) that I need to classify - the bag that is, not the individual document. However, a bag can have a different number ...
0
votes
0answers
9 views

Can the test set of non-image data be augmented?

I have learned the test set of image data can be augmented by a method called Test Time Augmentation and I am wondering after I researched on it if the test set of ...