Questions tagged [image-recognition]

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

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3
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0answers
29 views

Does anyone know of a model for comparing the eyes of people in two images to see if they match?

There’s a lot of talk of undercover cops intentionally starting violence in otherwise peaceful protests. The evidence, primarily, are images like this. https://images.app.goo.gl/4n3o2EXwFzMQfsKq6 ...
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Detect object in video and augment another video on top of it

I'm trying to detect an object in a video (with slight camera movement), and then augment another video on top of it. What is the simplest approach to do that? For instance, let's assume I have this ...
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10 views

How can I efficiently detect subsections?

I have a feeling this question has a lot of research into it, but I can't find any relevant results. I'm trying to compare the similarity of audio Here, I have 2 virtually identical samples; however,...
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Is there an AI tool to reverse engineer scanned data to obtain its CAD file?

Today, if you scan an object and want its CAD file (Solidworks/Autocad), you need to use reverse engineering software (Geomagic). This takes time and you need experience of the software tools. Is ...
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20 views

What pre-processing of the image is needed before feeding it into the convolutional neural network?

I can't figure out what preprocessing of the image is needed before feeding it into the convolutional neural network. For example, I want to recognize circles on a 1000 by 1000 px photo. The learning ...
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2answers
30 views

My CNN model performs bad on new (self-created) pictures, what are possible reasons?

I wanted to train a model that recognizes sign language. I have found a dataset for this and was able to create a model that would get 94% accuracy on the test set. I have trained models before and my ...
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12 views

What is 3D face recognition? and how we can check liveness of a face image?

Actually what is mean by 3D face recognition? In normal cases we are extracting face encoding s from a 2D image,right? Is 3D face recognition is used for liveness detection? how its possible?
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43 views

MNIST Classification code performing with 88%-90% whereas other codes online perform 95% on first epoch

I have been trying to write code to implement plain neural net without convolution from scratch. I took some help online here and added my code to my github account. I don't understand why the ...
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1answer
17 views

How to use 'Canny/Watershed' algorithm's output as an input for Image Classification Model

I have a very silly problem in hand. I have implemented 2 methods which give me the mask to separate the objects from the background. What I get from one method is the object encapsulated in the red ...
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29 views

How do i start building an autoclick bot for pubg mobile?

I want to make a bot which clicks the fire button on the mobile screen upon seeing an enemies head. In pubg mobile which is an android game you have to control the fire button and the aim along with ...
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How should I define the loss function for a multi-object detection problem?

I'm trying to create a text recognition project using CNN. I need help regarding the text detection task. I have the training images and bounding box details for them. But I'm unable to figure out ...
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Guessing the country given street level photo of buildings/monuments

I have 500-1000 labelled street level photos from which I need to train a model to guess the country. Most photos are of well known areas/landmarks, and I can assume the unseen photos will be similar. ...
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37 views

Do Multi-resolution CNN exist?

I am currently working on a problem for which the topographic data is in very different resolution. Let say I have data of 20x20 with 1km2 tiles and also high resolution data of 50m2 tiles. I would ...
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3answers
96 views

Can I do image classification with Multi Layers Perceptron (MLP)?

I'm seeking guidence here. Can I use Multi Layers Perceptron (MLP), e.g regular flat neural networks, for image classification? Will they perform better than Fisher Faces? Is it difficult to do ...
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1answer
33 views

Can neural network help me with detecting center coordinates of particles in an image?

I have an image of some nano particles that was taken with Scanning Electron Microscope (SEM) attached here. I want to obtain center points coordinates (x,y) for each particle. Doing it by hand is ...
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1answer
31 views

What is a landmark in computer vision?

I guess I understand the concept of face detection, a technique specifies the location of multiple objects in the image, and draws bounding boxes on the target. The question is related to the concept ...
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1answer
44 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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50 views

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
47 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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15 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 ...
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1answer
85 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
104 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
49 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 ...
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2answers
71 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
33 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 ...
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1answer
34 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
60 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
41 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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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,...
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1answer
907 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 ...
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1answer
41 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 ...
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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) ...
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1answer
70 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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24 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 = ...
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1answer
54 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
26 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
245 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
15 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
27 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
109 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 ...
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1answer
92 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 ...
3
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1answer
52 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
20 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
35 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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