The Stack Overflow podcast is back! Listen to an interview with our new CEO.

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.

161 questions with no upvoted or accepted answers
Filter by
Sorted by
Tagged with
6
votes
0answers
186 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 ...
4
votes
2answers
55 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 ...
4
votes
1answer
222 views

Image recognition of selfie images

I developed an Android app that lets anyone upload pictures of encyclopedic things (bridges, museums, dishes, landscapes, paintings, etc) to Wikimedia Commons. Unfortunately, 5% of the users find it ...
3
votes
1answer
81 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 ...
3
votes
1answer
69 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 ...
3
votes
0answers
44 views

How to help neuronal network with an other model

I am working on an image classification problem, the input data normally is images to classify, but I thought latitude and longitude would play something on these satellite images. I sorted by ...
3
votes
2answers
77 views

Classification of jumbled images

I want to be able to create a model that would be able to classify an image that has been split into 9 parts and jumbled around. I did see a paper on it but it is quite old (7-8 years old). Could ...
3
votes
0answers
5k views

Adding multilabel classifier to TensorFlow example

I am starting with the generic TensorFlow example. To classify my data I need to use multiple labels (ideally multiple softmax classifiers) on the final layer, ...
3
votes
1answer
1k views

Generate new images based on a dataset of images

Is it possible take a training set of one million 120 x 120 pixel tiles, feed these tiles into a machine learning algorithm. And then make it synthesize images that look like the original training set ...
2
votes
0answers
21 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 ...
2
votes
2answers
175 views

Looking for animals dataset for deep learning classification

Do you know any datasets that contain animals and their accurate classifications? I am looking for any dataset that categorizes animals. For example: a dataset with insects, with an image of an ...
2
votes
0answers
126 views

Why is my Siamese network always predicting 1?

There is no change to loss and the accuracy stays the same. ...
2
votes
0answers
115 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 ...
2
votes
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 ...
2
votes
1answer
631 views

Cannot interpret feed_dict key as Tensor: Tensor Tensor(“Placeholder:0”, shape=(3, 3, 3, 32), dtype=float32) is not an element of this graph

I have a working Keras model that makes predictions great in the repl but fails to load in a Flask app on accessing multiple times.. K.clear_session() and graph = tf.get_default_graph() did not work ...
2
votes
0answers
15 views

Neural Network for detecting/checking for requirements in diagrams

My question is more about what approach is a good/the best approach for my problem: THE PROBLEM - I'm an (mechanical/software) engineer and we take extensive amount of time to review technical ...
2
votes
0answers
36 views

How can I get the original pixels that lead to the decision in CNN?

I work on medical images and I want to locate the most relevant regions of the image based on deep learning spatially CNN. So I feed my data into VGG16 architecture and get the features maps. Now I ...
2
votes
0answers
48 views

it is possible to use features maps of CNN to localised important areas in image?

I'm new in deep learning and CNN, I understand how convolutional and pooling layers work, I understand how and why feature maps are created. How I can localize from the feature maps important area in ...
2
votes
0answers
34 views

CNN kernel location for input image

Given a CNN, say AlexNet: How could one relate kernel locations at the 3rd conv block, i.e 13x13 filter size to the input image. Would that give a meaningful representation in terms of the input ...
2
votes
3answers
43 views

Is it reliable to use TensorFlow (ML in general) to classify baggage bag tags based on the presence of a green stripe?

The images are identical except for the presence of the stripe on the side. I am trying to use a classify the images into 2 classes: greenStripe, noGreenStripe. I tried to use tensorflow retrain with ...
2
votes
2answers
89 views

Simple Object Detection

I want to create a simple object detection tool. So basically an image will be provided to the tool and from that, it has to detect the number of objects. For example An image of a dining table ...
2
votes
0answers
24 views

How does convolution operation perform in CNN?

I know that convolution operation has the property, associative law. if I need to use multiple filters in succession and to perform this operation on multiple images, it makes sense to convolve the ...
2
votes
0answers
133 views

Machine Learning & Image Recognition: How to start?

I've been a full stack web developer for 15 years now and would like to be involved in machine learning. There is already a specific scenario for this: We have a database with several million products ...
2
votes
0answers
195 views

Spatial Transformer Networks and Data Augmentation

We are all familiar with the famous Deep Mind paper STN. Upon implementation, such as https://pytorch.org/tutorials/intermediate/spatial_transformer_tutorial.html , did anyone still use input data ...
2
votes
1answer
73 views

calculation of average ROC in IMageNet paper?

The IMageNEt paper Image Net. presents the Average ROC curve for the 16 classes in the imagenet data, visit image figure. 8 in the paper. what is the known function to compute this ROC plot. As ROC ...
2
votes
0answers
96 views

What are natural (computed) pre-images useful for?

I've just been reading Zeiler, M.D. and Fergus, R., 2014, September. Visualizing and understanding convolutional networks. In European Conference on Computer Vision (pp. 818-833). Springer ...
2
votes
1answer
876 views

What preprocessing steps to be followed before image comparison?

1 down vote favorite For example I am trying to find the similarity between two images using skimage - SSIM. The code block will be as follows ...
2
votes
0answers
580 views

Test data from ImageNet

Here's the description about the data usage for ILSVRC 2016 of ImageNet. I've interpreted it with the table as follows, ...
2
votes
0answers
448 views

dynamic addition and variety of neural network outputs

After studying some academic papers about neural network recognition, plus trying some of them out myself, I do understand how you can train a network to give you a certain output on a defined set of ...
2
votes
0answers
17 views

Number of SURF features normally used?

I am interesting in knowing an approximate amount of SURF features used to do e.g. image-recognition on 224x224x3 images. Is there a standard amount of features used? Or perhaps a well-acclaimed ...
2
votes
0answers
1k views

Caffe net.predict() outputs random results (GoogleNet)

I used pretrained GoogleNet from https://github.com/BVLC/caffe/tree/master/models/bvlc_googlenet and finetuned it with my own data (~ 100k images, 101 classes). After one day training I achieved 62% ...
1
vote
1answer
23 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
vote
0answers
13 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
vote
0answers
6 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,...
1
vote
0answers
83 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.
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 ...
1
vote
1answer
112 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. ...
1
vote
1answer
44 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: ...
1
vote
0answers
22 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
2answers
56 views

Clustering on imbalanced data that has high correlation

I am clustering images of two categories, but for the purposes of the experiment, I do not know the labels i.e. this is an unsupervised problem. Via ...
1
vote
0answers
12 views

Image and Video Formats with lossy-compression and fast subregion lookup?

I'm looking for image / video file formats that support lossy compression to reduce disk size and allow for fast subregion lookup. i.e. dont read the entire file when you only need to lookup a small ...
1
vote
0answers
66 views

matterport mask-r-cnn transfer learning on own dataset using VGG annotator ver.1

The code I used was taken from shapes.py, balloon.py, inspect_balloon_data.ipynb but mostly ...
1
vote
0answers
23 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 ...
1
vote
0answers
62 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 ...
1
vote
0answers
30 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 ...
1
vote
0answers
39 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 ...
1
vote
0answers
38 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
vote
2answers
63 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 ...
1
vote
0answers
12 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
71 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 ...