Questions tagged [image-recognition]

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

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2
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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: ...
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1answer
1k views

How to detect the empty parking spots?

I have some images of the empty parking as shown below. I 'd like to use deep learning to extract the parking spots. But in the beginning,am confused whether there are several ways to do the ...
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2answers
4k views

Cropping image using ML?

Is there a way to train AI to find aspecific line or symbol in a image and crop it? OpenCV scripts finds a face and crops it: how can I add my annotations? Lest say I have a image like this: ...
3
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1answer
547 views

Intuitively understanding translational invariance in CNNs

I'm currently in the process of learning about using CNNs in image recognition. Many of the different resources I read that were explaining the motivation referred to the fact that these networks are (...
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3answers
23k views

How to handle images of large sizes in CNN?

Suppose there are 10K images of sizes 2400 x 2400 are required to use in CNN.Acc to my view conventional computers the people use will be of use. Now the question is how to handle such large image ...
3
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1answer
667 views

Image Recognition and Orientation Detection

Hypothetically, the symbol (Triangle) is sticked to an item and i need to find and recognize that symbol and try to calculate the orientation of the item it is sticked into. In degrees. How would you ...
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2answers
272 views

How can I use Neural Network in motion identification

I'm quite new to image processing and AI. But I have the expertise to create a network that can be used in object detection and recognition. Most of the time I've used ANN or Naive Bayes. Now, I want ...
4
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2answers
153 views

As a starter: what is the form of training data for image processing

What we are doing in the image processing training. We are storing some form of data which is going to act as the knowledge or experience of the system. In which form can the system store it's ...
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0answers
172 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 ...
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1answer
34 views

Do images submitted to a segmentation network after training need to be the same size as the training images?

I have not seen this explicitly stated anywhere so I was curious. Say I have network trained to meet my segmentation needs using 250x250 images. After this training is complete and I wish to submit ...
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2answers
303 views

Is there a computer vision service for classifying images on a fixed array of images provided by me?

I was checking services like Microsoft Azure's Cognitive Services Computer Vision API and Google's Vision API and they are amazing. I was wondering if these services, or any other cloud service for ...
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1answer
78 views

What are the pros and cons of using a spatial transformation network to predict the next video frame?

I've read through a few papers on next frame prediction from a sequence of frames and several of them use spatial transformations (STNs). See this as an example. I want to know what are the pros and ...
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2answers
145 views

Is algorithmic bias due to the training dataset used?

I recently read about algorithmic bias in facial recognition. Is algorithmic bias due to the training dataset used, or is it due to something else?
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2answers
244 views

Feature extraction other than convolutions for images?

Are there approaches other than convolutions to learn features from images? Has there been any research to use approaches such as hashing (e.g. p-hash, ...
7
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1answer
108 views

What algorithms are used for segmentation and classification of non solid regions in an image?

In the process of segmentation, pixels are assigned to regions based on features that distinguishes them from the rest of the image. Value Similarity and Spatial Proximity, for example, are two ...
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1answer
79 views

Web based face recognition [closed]

I am building a smart Mirror where it displays a website and the website would have voice recognition and face recognition. For voice recognition/voice commands I will be using a JavaScript library ...
5
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1answer
155 views

Is it feasible to train a Machine Learning Model (with image inputs) in an average personal computer?

There are lots of examples of machine learning systems that can recognize objects and extract other information from images with very high precision. To train the models of such systems is necessary (...
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3answers
5k views

How do we choose the kernel size depending on the problem?

Obviously, finding suitable hyper-parameters for a neural network is a complex task and very problem or domain-specific. However, there should be at least some "rules" that hold most times for filter ...
3
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3answers
8k views

How to “combine” two images for CNN input (classification task)?

For a classification task (I'm showing a pair of exactly two images to a CNN that should answer with 0 -> fake pair or 1 -> real pair) I am struggling to figure out how to design the input. At the ...
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1answer
45 views

Can I limit the possible choices for a computer vision framework to recognize?

To risk giving away too much info, im building a piece of hardware with the job of identifying the object in front of it. If it can only be one of three different items, how can I tell the computer ...
3
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1answer
663 views

Image comparison algorithm, trying to figure out how similar two “binary” forms are

I'm a student I'm completely new to this technology maybe my approach could be completely wrong, I want to create an algorithm that compares the similarity between two binarized images. I'll explain: ...
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3answers
1k views

Neural network for detecting individual human face

In past few weeks, I have learned a lot about Neural Networks. Now, I am looking forward to create a Neural Network program that can recognize individual human faces. I tried searching it online but ...
2
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1answer
157 views

Training a convolutional network to recognize object location

I am beginning an image analysis project to recognize images with a particular object centered on the image. If the object is at the center, I give the image a positive label, and if it is anywhere ...
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3answers
648 views

Java - A good place to begin if over all goal is ML and Ai?

I am currently studying Java (Se && EE). I am wondering if it is a good platform for developing ML algorithms for AI. Areas of interest: facial rec - Speech Rec - understanding conversation in ...
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1answer
577 views

Detect street and sidewalk surface in aerial imagery (neural network)

I would like to detect street and sidewalk surface in a very detailed (0.075m/pix) USGS High Resolution Orthoimagery which basically means image segmentation with two classes. Places in question are ...
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4answers
390 views

Training neural network for good taste in art

I'm a newbie in machine learning, so excuse me in advance). I have an idea to make NN that can estimate visual pleasantness of arbitrary image. Like you have a bunch of images that you like, you train ...
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3answers
694 views

Machine Learning hardware usage in embedded applications

I've been reading a lot about hardware development and implementation for AI/ML, mainly about Deep Learning, and I have a question about its usage. From what I understand, there are 2 stages for DL: ...
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2answers
664 views

Image recognition

I am looking for a solution that I can use with identifying cars. So I have a database with images of cars. About 3-4 per car. What I want to do is upload a picture to the web of car(Picture taken ...
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1answer
324 views

How much of a problem is white noise for the real-world usage of a DNN?

I read that deep neural networks can be relatively easily fooled (link) to give high confidence in recognition of synthetic/artificial images that are completely (or at least mostly) out of the ...
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3answers
3k views

SSD or YOLO on arm

Is it possible to run SSD or YOLO object detection on raspberry pi 3 for live object detection (2/4frames x second)? I've tried this SSD implementation but it takes 14 s per frame. Is there anything I ...
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1answer
368 views

Is there any way can teach AI creative painting (not convert photo to paint)?

I have already know AI can paint, by using genetic algorithm, there are already lots of works such as this and this.In addition, I also know AI can compose : Song from PI: A musically plausible ...
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1answer
1k views

Is the QuickDraw with Google neural net a convolutional neural network?

Does anyone know, or can we deduce or infer with high probability from its characteristics, whether the neural network used on this site https://quickdraw.withgoogle.com/ is a type of convolutional ...
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4answers
3k views

CNN for detecting not just the nature of the object, but position within image as well

Consider a typical convolutional neural network like this example that recognizes 10 different kinds of objects from the CIFAR-10 dataset: https://github.com/tflearn/tflearn/blob/master/examples/...
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1answer
99 views

Feasibility of sorting a basket of clothes in the real world

I'm wondering how feasible it is to create a machine that can separate clothing from a basket. At the most basic level it would distinguish between tops, pants, button downs and socks ...
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3answers
2k views

Are Convolutional Neural Networks better than existing image recognition libraries that don't use CNNs?

Are Convolutional Neural Networks summarily better than pattern recognition in all existing image processing libraries that don't use CNN's? Or are there still hard outstanding problems in image ...
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3answers
121 views

Is it possible for visual systems in AI to have Inattentional Blindness?

Inattentional Blindness is common in humans (see: https://en.wikipedia.org/wiki/Inattentional_blindness ). Could this also be common with machines built with artificial vision?
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1answer
169 views

How good is AI at generating new, unseen [visual] examples?

By new, unseen examples; I mean like the animals in No Man's Sky. A couple of images of the animals are: So, upon playing this game, I was curious about how good is AI at generating visual ...
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3answers
205 views

How to make convnets aware what the image actually is, not what is depicted on it?

I've uploaded a picture to Wolfram's ImageIdentify of graffiti on the wall, but it recognized it as 'monocle'. Secondary guesses were 'primate', 'hominid', and 'person', so not even close to 'graffiti'...
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1answer
167 views

How does Wolfram's Image Identification Project work?

Wolfram Language Image Identification Project launched an Image Identify site demo which returns the top predicted tags for the photos. How does it work, briefly? I mean what type of learning vision ...
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1answer
217 views

How does Pinterest decipher what's on unmarked pictures and categorize them?

According to this article, Pinterest acquired VisualGraph, an image recognition and visual search technology startup. How does Pinterest apply VisualGraph technology for machine vision, image ...
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3answers
331 views

How to achieve recognition of postures and gestures?

I'd like to investigate the possibility of achieving similar recognition as it's in Honda's ASIMO robotp.22 which can interpret the positioning and movement of a hand, including postures and gestures ...
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5answers
1k views

How can action recognition be achieved?

For example, I would like to train my neural network to recognize the type of actions (e.g. in commercial movies or some real-life videos), so I can "ask" my network in which video or movie (and at ...
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1answer
227 views

How many neurons would a network have after a training of 100k small images?

Is there any way to estimate how big the neural network would be after training session of 100,000 unlabeled images for unsupervised learning (like in STL-10 dataset: 96x96 pixels and color)? Not the ...
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2answers
2k views

How successfully can convnets detect NSFW images?

For example, search engine companies want to classify their image searches into 2 categories (which they already do that) such as: NSFW (nudity, porn, brutality) and safe to view pictures. How can ...
3
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1answer
255 views

How do Google cars recognize the traffic signs?

The paper Multi-column Deep Neural Networks for Image Classification (pages 7-8) shows an attempt at recognizing the traffic signs, with lower error rates, by using multi-column deep neural networks. ...
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1answer
73 views

What are the most challenging tasks aiming to achieve the lowest error rate?

For example there is the MNIST database which is used to test artificial neural network (ANN), however it's not so challenging, because some hierarchical systems of convolutional neural networks ...
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3answers
516 views

Are there any textual CAPTCHA challenges which can fool AI, but not human?

Are there any modern techniques of generating textual CAPTCHA (so person needs to type the right text) challenges which can easily fool AI with some visual obfuscation methods, but at the same time ...
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1answer
53 views

Do you need single or multiple networks to detect multiple faces?

Given pictures with multiple features such as faces, can single AI algorithm detect all of them, or for better reliability is it preferred to use separate instances? In other words I'm talking about ...
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1answer
56 views

Is it possible for 'unsupervised learning' model to recognize features on unlabelled images?

Is it possible for unsupervised learning to learn about high-level, class-specific features given only unlabelled images? For example detecting human or animal faces? If so, how?
4
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1answer
142 views

Are there any microchips specifically designed to run ANNs?

I'm interested in hardware implementation of ANNs (artificial neural networks). Are there any popular existing technology implementations in form of microchips which are purpose designed to run ...