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Questions tagged [image-recognition]

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

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2answers
63 views

Methods for fast image comparison

I want to implement a real-time system for image comparison (e.g. compare a face with a reference one) on an Odroid. I would like to know what are the most suitable architectures for this task. I ...
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1answer
73 views

What ANN layer widths support the learning of digit recognition?

I have created an ANN in Python (without libs). On beginning, it had been learned in target of solve linear problems like distinguishing between negative and positive numbers, where the layer widths ...
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0answers
27 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'...
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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 ...
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1answer
344 views

Identifying car model via deep learing

Is there any project or example for a software identifying cars? Situation: I got multiple angle shots in high resolution from a car. I want the algorithm to tell me "This is a Mercedes SLK" or "This ...
4
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2answers
227 views

How good is facial recognition exployed in public surveillance

What methods are used for facial recognition in public surveillance? Ideally, an answer would point to the software, algorithms or specifications being used. How can those be fooled? Fake or ...
3
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1answer
554 views

Regarding Yolo and Keras

I'm trying to implement YOLO (tiny version, v1) into Keras framework. For the past two days, I've been relentlessly digging through Github and the likes in order to ...
2
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1answer
527 views

How to load an image into tensorflow.js code which reads handwritten numbers and clasify them

I'm new to machine learning, so i figured I should look into google's tensor flow guides and I know how to code in JS so that's why I'm using tensorflow.js, there's and example in the guide that ...
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3answers
273 views

Detect visual attention area in an image

I'm trying to detect the visual attention area in a given image and crop the image into that area. For instance, given an image of any size and a rectangle of say LxW dimension as an input, I would ...
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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 ...
3
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1answer
85 views

How to apply a kernel to an image?

As I know, if we consider a 3*3 kernel, we should add a padding of 1px to the source image(if we want to have effect on whole of the image), then we start to put the kernel in upper-left side of the ...
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3answers
81 views

Which photo is more artistic?

I would like to develop a machine learning algorithm, given two photos, that can decide which image is more "artistic". I am thinking about somehow combining two images, giving it to a CNN, and get ...
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2answers
167 views

What does it mean “derivative of an image”?

I am reading a book about OpenCV, it speaks about some derivative of images like sobel. I am confused about image derivative! What is derived from? How can we ...
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1answer
1k views

Detecting license plate using tensorflow

I'm currently working on license plate recognition. My system consist of 2 stage: (1) License Plate region extraction & (2) License Plate region recognition. I'm doing (1) with Raspberry pi 3 ...
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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 ...
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1answer
88 views

Is this overfitting avoidable?

I am trying a modification of Mobilenet in which I add feedback from the softmax layer into the early layers (to implement this I put a second net after the first, which receives connections from the ...
3
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1answer
103 views

Neural Network training beginner question

I have a question about the training sequence regarding Neural Network recognition. Let's say an image has 28*28 pixels, which leads to 784 Input Nodes with various greyscale values and 10 output ...
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0answers
49 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 ...
3
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1answer
466 views

Neural network returns about the same output(mean) for every input

I tried to build a neural network from scratch to build a cat or dog binary classifier using a sigmoid output unit. I seem to get the output value around 0.5(+/- 0.002) for every input. This seems ...
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0answers
39 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 ...
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4answers
251 views

What are some tactics for recognizing artificially made media?

With the growing ability to cheaply create fake pictures, fake soundbites, and fake video there becomes an increasing problem with recognizing what is real and what isn't. Even now we see a number of ...
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1answer
85 views

Extracting one class from a pretrained Convolutional Neural Network

I am new to deep learning and computer vision. I have a problem where i use yolo algorithm (https://pjreddie.com/) to detect objects. In the original paper, they define the output to recognize 80 ...
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1answer
705 views

Intel Movidius Neural Stick vs TensorFlow

I wanted to start developing a project with image recognition. I want to know the difference between the Intel Movidius Neural Compute Stick and TensorFlow to develop this project Any help would ...
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8answers
27k views

In a CNN, does each new filter have different weights for each input channel, or are the same weights of each filter used across input channels?

My understanding is that the convolutional layer of a convolutional neural network has four dimensions: input_channels, filter_height, filter_width, number_of_filters. Furthermore, it is my ...
3
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1answer
260 views

Is color information only extracted in the first input layer of a convolutional neural network?

In a convolutional neural network (CNN), since the RGB values get multiplied in the first convolutional layer, does this mean that color is essentially only extracted in the very first layer? ...
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3answers
109 views

Create captions based on a series of images

I'd like to generate subtitles for a silent film. Is there an open source project out there capable of creating captions based on a series of images (such as a scene from a movie)? EDIT: thanks for ...
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0answers
31 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 ...
2
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1answer
32 views

Executing trained image classification model for video

I've been working with vanilla feed forward neural networks and have been researching the convolutional neural network literature. Thus far I've have not encountered how often the model is executed in ...
2
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1answer
44 views

In number classification using neural network, is training with edge image better than gray image?

i'm trying to identify numbers and letters in license plate. License plate images are taken at different lighting condtion and converted to gray image. My concern with type of data for training is: ...
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2answers
76 views

How to know what kind of memory is stored in the connection weights?

So, I have seen few pictures re-created by a Neural Network or some other Machine Learning algorithm after it has been trained over a data set. How, exactly is this done? How are the weights ...
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3answers
3k views

How can 3 same size CNN layers in different ordering output different receptive field from the input layer?

Below is a quote from CS231n Prefer a stack of small filter CONV to one large receptive field CONV layer. Suppose that you stack three 3x3 CONV layers on top of each other (with non-linearities ...
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1answer
601 views

How are kernel's input values initialized in a CNN network?

I am currently learning about CNN's and I am confused on how filter/kernels are initialized beside their size? Say if you want a filter of 3x3 how are the inner values initialized a the start? http:/...
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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....
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1answer
75 views

How can computers beat humans at image recognition?

For supervised learning, humans have to label the images computers use to train in the first place, so the computers will probably get wrong the images that humans get wrong. If so can computers beat ...
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2answers
413 views

Viola Jones Algorithm

Can Viola Jones algorithm be used to detect the facial emotion. Actually it was used in creating harr-cascade file for object and facial detection, but what confused me is whether it can be used to ...
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2answers
91 views

Machine learning and machine generated content conflict problem

Machine learning and NN trainings as a part of ML is based on data that was gotten from real world and inserted into virtual space by humans. Meanwhile NN are also used for data generation. Each year ...
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2answers
4k views

How to implement an “unknown” class in NN classification?

For example I need to detect classes for MNIST data. But I want to have not 10 classes for digits but also I want to have 11th class "not a digit". So that any letter (except "O" of course:) ), any ...
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0answers
179 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 ...
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0answers
716 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 ...
2
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1answer
93 views

Measuring logs from a picture

I am interested in learning more about the capabilities of AI, one of my ideas with practical functionality is using images of the rear of a log hauling truck to measure the individual logs using AI. ...
3
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1answer
798 views

Trying to understand VGG convolution neural networks architecture

Trying to understand the VGG architecture and I have these following questions. I understand the general understanding of increasing filter size is because we are using max pooling and so its image ...
4
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1answer
182 views

How to identify the face of a certain customer in a grocery store?

How would you solve the problem of identifying certain customer in a grocery store? Suppose our client is already signed-up on our website with an unique ID given to him. To come in to the store, ...
3
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1answer
587 views

Real time image processing for object recognition using security cameras

I was thinking, what if we could combine Artificial Intelligence (Neural network for image recognition), computer hardware and a security camera for identify any breaking into our backyard at 12:00am -...
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2answers
66 views

Identifying if an image contains an object with very small (five image) training data set

Let's suppose I have 5 images, all of which I assure you are of the same item, but from various angles and perhaps different lighting conditions. I now supply you with an additional image, and I want ...
3
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3answers
301 views

Would convolutional NN recognize patterns in encoded images?

I have a set of images that I already trained a CNN to classify successfully. I wonder if it would be possible to encode the images (using XOR in combination with a key of the same length as the image)...
4
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1answer
2k views

Reading a value of a real gauge

I have a simple gauge displaying analog values ranging from 0 to 4. Here is an image of the gauge. Unfortunately there is no way to get a analog or digital signal for the value. How do I read the ...
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1answer
55 views

Is there a technical name for image classification on amount instead of class?

Is there a technical term for an image classifier that classifies on a single class but is classifying on an amount like how full a glass of water is rather than different classes?
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0answers
49 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 ?
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3answers
211 views

How would AI prioritize situational ethics?

There's a real possibility that self driving cars become more than just a high tech novelty and they start changing the market. As seen in Logan, self driven commercial freight might be among the ...
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0answers
184 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: ...