Episode #125 of the Stack Overflow podcast is here. We talk Tilde Club and mechanical keyboards. Listen now

Questions tagged [image-recognition]

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

53 questions with no upvoted or accepted answers
Filter by
Sorted by
Tagged with
4
votes
0answers
29 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 ...
4
votes
1answer
26 views

An approach on reading musical notes from photos

I was looking around, a promising approach was this: https://github.com/mpralat/notesRecognizer the problem is: it doesn't seem good enough. One should be able to read musical notes with lower ...
3
votes
0answers
29 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 ...
3
votes
0answers
38 views

How do I denoize a microscopic image?

I'm working in a computer vision project, where the goal is to detect some specific parasites, but now that I have the images, I noticed that they have a watermark that specifies the microscope ...
3
votes
1answer
109 views

If neurons are only defined for values between 0 and 1, how does ReLU differ from the identity?

I'm struggling to understand the underlying mechanics of CNNs so any help is appreciated. I have a network with a ReLU activation function which does perform signifigantly better than one with sigmoid....
2
votes
0answers
34 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
votes
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?
2
votes
0answers
40 views

Algorithms to indentify people in pictures without using face recognition

There are lot of researches about face detection in pictures, but is it the only way one can say "this person I'm looking for is here in this picture"? Aren't there algorithms that you can provide ...
2
votes
0answers
29 views

Presence of object (highly occluded vehicle) in a scene

How to detect presence of object (highly occluded) in a scene? There are specific features (small patterns, etc), which allow to say that object is present, but it is not enough for detection for ...
2
votes
0answers
149 views

Deep Learning on how to find out the body measurement (e.g. shoulder length, waist, hips, legs length etc) from mobile camera captured images?

I do understand that there are plenty of mobile apps available for body measurement (e.g. MTailor) or creating 3D model (3dlook). What I would like to find out is how we can use deep learning to ...
2
votes
0answers
13 views

Geometry shape identification and vertex/side label association

I want like to be able to draw a shape outline e.g. (pen and paper) triangle, square, circle.. then label the vertices and sides And have ML identify the shape and the symbol associates with each ...
2
votes
0answers
44 views

How a game playing agent could identify potential objects and proximity?

Most implementations I'm seeing for playing games like Atari (usually similar to DeepMind's work using DQN) have 4 graphical frames of input fed into 3 convolutional layers which are then fed into a ...
2
votes
0answers
41 views

How to use Machine Learning to create a “Draw-A-Person Test”

The process revolves around a child's drawing. Each part of each drawing corresponds to a score as in the Draw a Person Test conceived by Dr. Florence Goodenough in 1926. The goal of the machine is to ...
2
votes
0answers
47 views

How can I use A.I/Image Processing to construct mathematical graphs from drawing?

In physics, there are a lot of graphs, such as 'velocity vs time' , 'time period vs length' and so on. Let's say I have a sample set of points for a 'velocity vs time' graph. I draw it by hand, ...
2
votes
0answers
26 views

VIsual/musical/multimedia discourse (analysis) - are there such notions?

Formal semantics of natural language perceives sentences as logical expressions. Full paragraphs and even stories of natural language texts are researched and formalized using discourse analysis (...
2
votes
0answers
169 views

Extracting specific features using HOG

I am using HOG (Histogram of Oriented Gradients) for car detection from a video. I have used the Matlab function extractHOGFeatures() , it has given me a feature ...
2
votes
0answers
180 views

Can anybody explain such behavior of accuracy and loss of my Net(caffe)?

I used this project for example(framework - caffe, arhitecture of net - mod of AlexNet, 400 images are used for training). I have this result: or this: Solver: ...
1
vote
0answers
10 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, ...
1
vote
0answers
52 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?
1
vote
0answers
27 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
vote
0answers
52 views

How to locate the invoice within a camera captured image?

The demand is to locate the invoice within a camera captured image about that invoice. The invoice is always a white paper with printed black or blue characters, tables and red stamps. Sometimes the ...
1
vote
2answers
84 views

How do we classify an unrecognised face in face recognition?

If we have classified 1000 people's faces; how do we ensure the network tells us when it encounters a new person?
1
vote
0answers
68 views

Siamese Network for unknown object

I am currently trying to create a One-Shot network using the Siamese architecture for an object that isn't a face. My problem is, in normal Face Recognition the detecting gadget (e.g. Smartphone) ...
1
vote
1answer
16 views

Using convnet to classify language of text contained in images

I hope this question is not too broad or general. I have a very large set of images all of which contain text (some have more, some less). All of them have been tagged as containing, say, English text ...
1
vote
0answers
34 views

Bubble Chamber Image Analysis Using Neural Network

I have a data analysis problem that I can reduce to one similar to analyzing the trajectories in the images below. These images show the tracks of subatomic particles interacting in a bubble chamber. ...
1
vote
0answers
15 views

How to annotate a teleoperated robot?

Most robotics challenges like Robocup soccer, micromouse and the Amazon picking challenge are oriented on fully autonomous systems. A motion controller gets started, the operator takes away his hands ...
1
vote
0answers
154 views

What are some of the drawbacks of one-shot learning?

One-shot learning seems to work really well in many application domains. Are there any major (or even minor) drawbacks of using one-shot learning? Does it have flaws that could prevent it from being ...
1
vote
0answers
32 views

How to preprocess a modified dataset so that a fitted CNN makes correct predictions on an un-modified version of the dataset?

for a school project I have been given a dataset containing images of plants and weeds. The goal is to detect when there is a weed in the pictures. The training and validation sets have already been ...
1
vote
0answers
26 views

Difference in trained models between GCP's Google Vision and Firebase's ML kit?

Anyone here know if the image-recognition/text-recognition/etc features of Google Vision API use the same trained models as the image-recognition/text-recognition/etc of Firebase's ML kit? If they don'...
1
vote
0answers
64 views

Steps recognition

What AI concepts, topologies1, algorithms, or SaaS can be used to recognize a person eating a chocolate. For this question, image recognition draws from a real time feed, validating each of these ...
1
vote
0answers
77 views

Object recognition by two or more traits that are orthogonal (informally speaking)

I would really appreciate if someone could comment the following method of training neural nets providing them with some meta data (Making them more color prone only if needed, whereas now they're ...
1
vote
0answers
40 views

How to combine heterogeneous image features extracted with different algorithms for similar image retrieval?

Say I have access to several pre-trained CNNs (e.g. AlexNet, VGG, GoogleLeNet, ResNet, DenseNet, etc.) which I can use to extract features from an image by saving the activations of some hidden layer ...
1
vote
0answers
44 views

Feature set out of grayscale Images for training a neural network?

Previously I had trained a Neural Networkupon 20,000 character images. This Neural Net generally works well, it uses ...
1
vote
0answers
38 views

Best way to predict future frame of movie or game?

Using a neural network the method seems to be that you end up with a probability for each possible outcome. To predict the next frame in a monochrome movie of size 400x400 with 8 shades of gray, it ...
1
vote
0answers
30 views

How to apply EOT algorithm to 3d model

Many of you have probably seen the turtle from LabSix that gets mistaken for a rifle in Google's InceptionV3 image classifier. I read the paper and I understand how they apply EOT to 2d images and on ...
1
vote
0answers
699 views

Object detection in video

I have a video which is capture from a moving car and video showing plenty of details like pools, human, cars/buses, roads, etc, etc. The video I am playing in unity3d and camera Showing that video ...
1
vote
0answers
47 views

Can Image Recognition used to find height of a person whole, torso, legs etc

Image recognition can be used to classify images. But I wanted to find few parameters like height of person, his legs, his hand etc. Will CNN helpful for this type of output ?
1
vote
0answers
126 views

Converting pictures into numerical values

I am working to make my first trained model for image recognition, using the programming language R. First I am attempting to make a function that takes a PNG-image as input, resizes it to 128x128 ...
1
vote
1answer
349 views

Count number of objects in image using CNN

I'm looking for neural network architecture that excel in counting objects. For example, CNN that can output the number of balls (or any other object) in a given image. I already found articles about ...
0
votes
0answers
15 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 ...
0
votes
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 ...
0
votes
0answers
58 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 ...
0
votes
0answers
18 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 ...
0
votes
1answer
37 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 ...
0
votes
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 ...
0
votes
0answers
23 views

Net stops to learn when I increase number of classes

I'm kind of stuck, and instead of trying to randomly shoot the net with my ideas maybe I can consult it with you (one epoch takes 7h, so I cant't test my random ideas). Here's the crime scene: My ...
0
votes
0answers
31 views

Which libraries can be used for image caption generation?

Which libraries can be used for image caption generation?
0
votes
0answers
72 views

Human Pose Comparison

I'm trying to create a service which compares 2 human poses as a part of my main application. I managed to plot skeletons on the images using OpenPose. A detailed explanation of my question: I have 2 ...
0
votes
1answer
72 views

Detecting playing cards with a neural network

I want to train an AI to detect playing cards. For that reason I bought many different decks, scanned and labeled them. Next up would be to create training data with an augmentation library. I found ...
0
votes
0answers
45 views

Double Convolution Layers in Yolov3

Lately, I have been working on yolov3 and have been trying to train it on x-ray images to detect a fracture. However, I have decided that I would want to increase the number of convolution layers for ...