Questions tagged [image-recognition]

For questions related to image recognition in the context of AI.

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1answer
34 views

How can I use a Hidden Markov Model to recognize images?

How could I use a 16x16 image as an input in a HMM? And at the same time how would I train it? Can I use backpropagation?
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33 views
+50

How to implement taylor expansion of progressive Convolutional NN?

I intend to implement CNN like progressively expanded neural network in Keras. The basic idea is the first input node can be decomposed into multiple nodes with different orders and coefficient, then ...
2
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1answer
42 views

How to perform insect classification given two images of the same insect?

I'm relatively new to image classification. Currently, I am trying to classify insect images, using a convolutional neural network (CNN). When I ask a human expert to identify an insect, I usually ...
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0answers
13 views

Training single network for one-shot identification

I am trying to build a face recognition application and I have seen implementations such as dlib. I would like to build a siamese net, and my doubts are about the architecture. Since I am supposed to ...
2
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1answer
72 views

How can I detect the frame from video streaming that contains a graffiti on city wall?

I am working on a graffiti detection project. I need to analyze data stream from a camera mounted sideways on a vehicle to identify graffiti on city walls and notify authorities with the single best ...
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5answers
97 views

How can I train a neural network to describe the characteristics of a picture?

I have collected a set of pictures of people with a text explaining the characteristics of the person on the picture, for example, "Big nose" or "Curly hair". I want to train some type of model that ...
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1answer
40 views

Image dataset for pomegranate plant disease

I am implementing a project on pomegranate plant disease in Machine learning. I want a dataset of all kind images of a healthy and unhealthy part of the pomegranate plant. I got a dataset from ...
4
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2answers
64 views

Is there any difference between the convolution operation applied to images and applied to other numerical 2D data?

Is there any difference between the convolution operation applied to images and applied to other numerical 2D data? For example, we have a pretty good CNN model trained on a number of $64 \times 64$ ...
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1answer
30 views

How can I use autoencoders to analyze patterns and classify them?

I generated a bunch of simulation data from a complex physical simulation that spits out patterns. I am trying to apply unsupervised learning to analyze the patterns and ideally classify them into ...
1
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1answer
27 views

Is it legal to construct a public image database (for deep learning) with images from the internet? [closed]

I am trying to put together a public agricultural image database of corn and soybeans, to train convolutional neural networks. The main method of image collection will be through taking pictures of ...
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2answers
58 views

Should I apply image processing techniques to the inputs of convolution networks?

After working for some time with feature-based pattern recognition, I am switching to CNN to see if I can get a higher recognition rate. In my feature-based algorithm, I do some image processing on ...
2
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1answer
29 views

Reinforcement-learning: grey-scaling vs color of CNN input. Tradeoff?

I'm doing reinforcement learning and have a visual observation as state input for my agent. In the Deepmind Atari paper they greyscale the input image before they input it into the CNN to reduce the ...
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0answers
10 views

Exhaustive Nearest Neighbor Search vs KNN

I have two lists of feature vectors calculated from pre-trained CNN for image retrieval task: Query: FV_Q and Reference FV_R. <...
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0answers
14 views

Image-to-Image Regression for GO territory classification

I'm trying to implement a neural network that is able to generate an image indicating territory occupation given a board state for GO (a strategy board game). Input images are 19x19x1 grayscale images,...
2
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1answer
347 views

Tensorflow-gpu cannot use Nvidia GPU with CUDA

I'm working on a Python Keras/Tensorflow image recognition script (on Ubuntu 18.04) which works ok, but it will only train on CPU (which is slow) and I want to be using my GPU (i have a Nvidia Geforce ...
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0answers
18 views

Training dataset for convolutional neural network classification - will images captured on the ground be useful for training aerial imagery?

I am an agronomy graduate student looking to classify crops from weeds using convolutional neural networks (CNNs). The basic idea that I am wanting to get into involves separating crops from weeds ...
2
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1answer
32 views

Semantic Segmentation For Multiple Objects When Trained On Single Object

More of a conceptual question here: I'm working on semantic segmentation tasks in the medical space using the U-Net. Let's say that I train a U-Net model on medical images with the goal of segmenting ...
4
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1answer
25 views

Recognizing Set CARDs

Set is a card game and is Nicely described here. Each set-card has 4 properties: The number(1,2 or 3) the color (Red, Green or Purple) Fill (Full, Stripes, None) Form (Wave, Oval or Diamond) ...
4
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1answer
63 views

Is it expected that adding an additional hidden layer to my 3-layer ANN reduces accuracy significantly?

I've been using several resources to implement my own artificial neural network package in C++. Among some of the resources I've been using are https://www.anotsorandomwalk.com/backpropagation-...
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0answers
23 views

Hinton's Capsule network 16 dimensions

As you may know, Hinton's Capsule Network has been around for about 2 years now. https://arxiv.org/abs/1710.09829 Much ado has been made about how the Capsules output a vector (magnitude = ...
3
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1answer
46 views

How to classify human actions?

I'm quite new to machine learning (I followed the Coursera course of Andrew Ng and now starting deeplearning.ai courses). I want to classify human actions real-time like: Left-arm bended Arm above ...
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0answers
20 views

Human identification using gait analysis

I am working on a human identification by gait analysis project. So far, I have managed to extract the Gait Energy Image(GEI) of a silhouette. I am stuck on finding a way to move forward with my ...
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2answers
24 views

Automated Annotation of Objects

Given thousands of images, where some of the images contain target objects and others do not, is there an easy way of drawing bounding boxes on these target objects rather than relying on manual ...
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0answers
32 views

How to extract face details from a image

I am trying to make a face login application that authenticates the user when matching the registered face and the given face. currently, the issue is I cant extract the face descriptions from the ...
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1answer
161 views

How Euclidean distance algorithm calculate two different face images are match or not match in face recognition? [closed]

I am trying to make a face login application. face comparison algorithm is using Euclidean distance to calculate two different face images that are the same or not the same. can anyone help me with ...
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0answers
10 views

Can mobilenet in some cases perform better than inception_v3 and inception_resnet_v2?

I have implemented a multi-label image classification model where I can choose which model to use, I was surprised to find out that in my case mobilenet_v1_224 performed much better (95% Accuracy) ...
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0answers
13 views

Size of image input of neural networks while resizing may not be appropriate

I have the following problem while using convolutional neural networks to detect forgeries: Resizing the image to fit the required input size may not be a good way because the forgery detection ...
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0answers
26 views

How can I improve the performance of a model trained to detect vehicle poses?

I'm looking for some suggestions on how to improve our vehicle image recognition. We have an online marketplace where customers submit photos of their vehicles. The photos need to meet certain ...
5
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1answer
79 views

How do I combine models trained on different data to increase classification accuracy?

I have two trained models. One is using a LinearSVC algorithm and is trained on numerical data from medical examination from patients with diabetic retinopathy. The second one is a neural network ...
2
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1answer
91 views

Why is this ResNet50 misclassifying objects?

I'm new to Deep Learning, and I have some conceptual problems. I followed a simple tutorial here, and trained a model in Keras to do image classification on 10 classes of logos. I prepared 10 classes ...
2
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1answer
50 views

Do models train better if the dataset is more specific? (Semantic Segmentation / Bounding Box / Image classification)

I'm working on a project where there is a limited dataset of videos (about 200). We want to train a model that can detect a single class in the videos. That class can be of multiple different types ...
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8answers
4k views

Is there any research on the development of attacks against artificial intelligence systems?

Is there any research on the development of attacks against artificial intelligence systems? For example, is there a way to generate a letter "A", which every human being in this world can recognize ...
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0answers
18 views

How to recognize two different objects with the similar shape, but different size

I am using Mask-RCNN neural network. I retrained my network to detect and mask wheels of die-cast toy cars. I am using images, which present the side of the car (left or right). Sometimes the cars ...
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0answers
34 views

Is there a database of images of entire people bodies?

I wonder if anyone knows a database (preferably free) of images of different classes of people (age, gender) but with entire bodies shown on the pictures taken from different angles (mostly front and ...
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0answers
7 views

Fusing label distribution and on-hot encoded labels

A while ago I came across a paper for image classification that utilized both label distribution and one-hot encoded labels to classify images. An image has a label distribution for all classes (4 ...
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0answers
61 views

What to do when an image classifier does good for a class but bad for another?

So I wrote a convolutional neural network for a binary image classification. I have around 5300 images for each class which I thought would be enough to at least give me a good accuracy on the ...
3
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1answer
44 views

Can a model, retrained on images classified previously by itself, increase its accuracy?

Let's assume I have a CNN model trained to categorize some objects on the images. By using this model I find more categorized images. If I now retrain this model on data set that consists old set and ...
4
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0answers
67 views

Get the position of an object, out of an image

I have some images with a fixed background and a single object on them which is placed, in each image, at a different position on that background. I want to find a way to extract, in an unsupervised ...
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0answers
34 views

How to recognize arbitrary symbols within an image?

I want to investigate whether I could use AI to count arbitrary symbols on an image. Here's an example image like one I would be talking about, I wanted to know if there's an algorithm or an ...
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0answers
20 views

Extracting Descriptors and feature points for 3d mesh

I'm programming my work with python, and I have a mesh and I want to extract 3d descriptors and feature points from it( trying to work on multi-scale strategy) , to visualize them later on the mesh, ...
2
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1answer
49 views

Is there a theory behind which model is good for a classification task for the convolutional neural network?

Let say I'm trying to apply CNN for image classification. There are lots of different models to choose and we can try an ensemble, but given a limit amount of resources, it does not allow to try ...
3
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1answer
25 views

Is this technique image processing or computer vision?

If I use my mobile camera on a signboard or announcement board on a road or in a street (like the one attached in photo) where the message is written in Russian and my mobile shows me that message in ...
2
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1answer
28 views

Better to learn the same small set for multiple epochs then go to the next or learn from each one time repeatedly for multiple times?

I don't know if I worded the title correctly. I have a big dataset (300000 of images after augumentation) and I've splitted it into 10 parts, because I can't convert the images into a numpy and save ...
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0answers
56 views

Can I perform image recognition using a very small dataset?

I have 3 types of classes and I have 2 images of each object (or class). Can I perform image recognition using this very small dataset?
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0answers
29 views

What models and algorithms are used in commercial vehicle re-identification tasks?

Due to the fast-growing applications of AI technologies applied to vehicle re-identification tasks, there have already been hot contests, such as the Nvidia AI challenge. What algorithms or models ...
1
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1answer
98 views

Is there a simple way of classifying images of size differing from the input of existing image classifiers?

Most image classifiers like Inception-v3 accept images of about size 299 x 299 x 3 as input. In this particular case, I cannot resize the image and lose resolution. Is there an easy solution of ...
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1answer
48 views

Any library recommended for recognizing squares in an image?

What do you recommend for recognizing squares in an image? The data needed to know is: Identify concrete squares. Identify the pixel coordinates of (the edges of) the squares in the image. A couple ...
2
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0answers
38 views

Can GANs be used to generate matching pairs to inputs?

I have some limited experience with MLPs and CNNs. I am working on a project where I've used a CNN to classify "images" into two classes, 0 and 1. I say "images" as they are not actually images in the ...
2
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0answers
25 views

Sails size recognition

Is it possible to recognize the height and width of the sails of different kitesurfers and windsurfers taken from public webcams? And show these information on video in real time? Or on screenshots?
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0answers
19 views

Is there any known visual neural network, capable of image clasterisation?

The difference in clasterisation task is, that the classes of objects are not given , but must be determined from the dataset. Usual usecase for NN is like having images of cats and dogs, and the ...

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