Stack Exchange Network

Stack Exchange network consists of 174 Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers.

Visit Stack Exchange

Questions tagged [image-recognition]

For questions about the image-recognition abilities of AI.

0
votes
1answer
28 views

What's the commercial usage of “image captioning”?

If "image captioning" is utilized to make a commercial product, what application fields will need this technique? And what is the level of required performance can this technique be usable? Thanks.
1
vote
1answer
28 views

How do I make AI based object picker?

I want to develop an AI based object (mainly toy) picker that can clean my kid's room and put toys in toy basket. Can somebody help me how to acheive this? I want to make a custom solution so that it ...
0
votes
1answer
19 views

Pixel-Level Detection of Each Object of the Same Class In an Image

I have source data that can be represented as a 2D image of many similar curves. They may oftentimes cross over one another, so regions of interest will overlap. My goal is to implement a neural ...
6
votes
2answers
63 views

Can machine learning algorithms (CNNs?) be used/trained to differentiate between small differences in details between images?

I was wondering if machine learning algorithms (CNNs?) can be used/trained to differentiate between small differences in details between images (such as slight differences in shades of red or other ...
0
votes
1answer
52 views

Measuring Width of Crack

Are there any projects where you can detect and measure the width of a crack? I am using tensorflow and labeling the data sets for now.
1
vote
0answers
22 views

Is it possible to spot photoshoped or edited photos using AI?

I have this question in my head: does the current level of AI development allow us to spot faked or photoshoped images? If it is possible, what is such a process to follow in order to build an AI ...
0
votes
0answers
13 views

Algorithms for automatic blueprint tracing (vectorization)

Could you please give me hints and ideas about how to solve the problem of automatic blueprint tracing? Suppose we have a lot of incoming blueprints in PDF format, some of them are just bitmaps in ...
0
votes
0answers
11 views

Sobel Operator || Pixel Constraint [migrated]

I am trying out the Sobel vertical operator to identify vertical edges in a picture. In each image there is one rectangle but the difference is that in 1 image the 2 vertical lines in the rectangle is ...
1
vote
1answer
14 views

Smaller interest area for images than the size of the image in classification neural networks

I have the following binary classification problem, my labeled dataset contains images 96x96 px. Now in every image the interest area is of size 32x32 px in the center of the image, and the images are ...
1
vote
0answers
31 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
votes
0answers
6 views

How many reference embeddings should I store for one shot recognition under different lighting conditions?

I built a one-shot learning model for object recognition based on the triplet loss (like FaceNet). The neural network is trained to compute embeddings from images in such a way that images related to ...
1
vote
2answers
71 views

How to approach this handwritten digit recognition?

I have multiple pictures that look exactly like the one below this text. I'm trying to train CNN to read the digits for me. Problem is isolating the digits. They ...
0
votes
1answer
38 views

Recognition of small objects

I'm currently implementing an Android app for street sign recognition. My solution works quite well for the GTSRB dataset, since it provides a labeled test set of centered images. However, it doesn't ...
2
votes
0answers
11 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
42 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 ...
1
vote
0answers
20 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
2answers
145 views

Which AI tool for food recognition?

I'm working in a company that opens restaurants in enterprises. Every day at lunch, we want our clients to be able to scan their trays, sothat the food is detected automatically thanks to AI / image ...
0
votes
1answer
13 views

Image prediction model when data-set classes have visual similarity

Lets say we have a data-set of all cats and we have to identify the cat breed based on given test image. As, the two different cat breeds have visual similarity can we use existing networks (VGG, ...
0
votes
1answer
50 views

Feature learning vs feature engineering vs feature learning and engineering

With the advancement of deep learning and a few others automated features learning techniques, manual feature engineering started becoming obsolete. Any suggestion on when to use manual feature ...
0
votes
1answer
36 views

How does the internal convolution Neural Network work?

I found the below image of how a CNN works but I don't really understand it. I do understand CNNs (I think) but I find this diagram very confusing. My summarized, simplified understanding : -...
2
votes
1answer
40 views

Are Computer Vision and Digital Image Processing part of Artificial Intelligence?

There are some fields of Computer Vision that are similar to Artificial Intelligence. For example, pattern recognition and path tracking. Based on these similarities, can we say that the Computer ...
2
votes
1answer
35 views

Influence of location on a Neural Network trained for parking detection occupancy

I loaded a neural network model trained with Caffe by other people in OpenCV. The model should detect the presence of a car in a single parking spot outputting the probability of it being free/...
2
votes
1answer
51 views

How to measure the reasoning capabilities of neural networks

Which possibilities exist to evaluate the visual reasoning capabilities of neural networks in the field of image recognition? Are there methods to measure the ability of machine reasoning? Or ...
1
vote
1answer
56 views

How can we use data augmentation for creating data set for face recognition and will the inverted faces on augmented images detected?

I saw when browsing we can use data augmentation for creating a dataset for face recognition. The augmented images may include inverted, tilted or distorted faces. Do the model detect the face from ...
1
vote
1answer
34 views

What is a good descriptor for similar objects?

I am developing an image search engine. The engine is meant to retrieve wrist watches based on the input of the user. I am using SIFT descriptors to index the elements in the database and applying ...
2
votes
0answers
31 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 ...
0
votes
1answer
23 views
1
vote
1answer
52 views

Is 1mb an acceptable memory size for images being trained in a CNN?

I am using Tensorflow CNN to build an image classification/prediction model. Currently all the images in the dataset are each about 1mb in size. Most examples out there use very small images. The ...
0
votes
1answer
23 views

how image segmentation evaluated?

I implemented the segmentation on my DICOM Dataset and it is compared with manual segmentation to find the accuracy of segmentation, is there other methods for evaluation?
1
vote
1answer
39 views

how to segment each part in dicom image?

As i'm beginner in image processing,having difficulty in segmenting all the parts in dicom image.currently i'm applying watershed algorithm but it segment only that part that have tumor.i have to ...
2
votes
4answers
84 views

Using Convolutional Neural Networks for movement classification

I have programmed my first network for the MNIST dataset. I was wondering what the first approach would be to recognize certain movements. I have read about that the time dimension should be ...
0
votes
1answer
38 views

How image segmentation actually works?

I'm currently working on tumor detection project using dicom images as I'm beginner in it currently having a difficulty in segmenting each part in image and giving each segment a new colour.
0
votes
1answer
31 views

How does an svm work? How does it perform comparisons between malignant and benign tumor

How do Support Vector Machines (SVMs) differentiate between a glass and a bottle or between a malignant and a benign tumor when it dealing with it for the first time? What will be the analysis ...
2
votes
0answers
45 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, ...
1
vote
1answer
86 views

Occupation detection using Face API

For my university project, I am planning to build a face recognition/ occupation recognition programme. However, rather than using the existing Haar cascade(for age and gender) I am planning to use ...
2
votes
1answer
76 views

How to build a commercial image captioning system?

Image Captioning is a hot research topic in the AI community. There are considerable image captioning models for research usage such as NIC, Neural Talk 2 etc. But can these research models be used ...
2
votes
0answers
20 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 (...
0
votes
0answers
28 views

Searching (google) photo library with AI

How to find a picture of specific cat graffiti from my photo library, which is so huge that I tired scrolling. The graffiti is very simple - it is just a black silhouette on a white wall - I can ...
4
votes
1answer
38 views

Optimizing image recognition results for unknown labels

I’m training a network to do image classification on zoo animals. I’m a software engineer and not an ML expert, so I’ve been retraining Google’s Inception model and the latest models is trained ...
1
vote
0answers
55 views

Cameras for automatic customer service machine [closed]

For my university project, I am planning to build an automated customer service machine. One which recognizes when someone approaches the camera according to says hello, etc. Also, I am planning to ...
5
votes
2answers
114 views

Predicting housing values with neural network (was: Variable Number of Inputs to Neural Networks)

A dataset is given which contains textual data (year, number of rooms, location) and visual data (an jpeg image of the house). The neural network has the task to predict the price of the property. As ...
4
votes
1answer
35 views

How to compare the training performance of a model on different data input?

So I have a deep learning model and three data sets (images). My theory is that one of these data sets should function better when it comes to training a deep learning model (meaning that the model ...
6
votes
2answers
79 views

How does rotating an image and adding new 'rotated classes' prevent overfitting?

From Meta-Learning with Memory-Augmented Neural Networks in section 4.1: To reduce the risk of overfitting, we performed data augmentation by randomly translating and rotating character images. ...
4
votes
2answers
107 views

Image Classification

I am currently working on a project to classify snake types separately using an image of the snake. I need to train a module to classify snake images, but the problem is there are only a small number ...
0
votes
2answers
44 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 ...
-1
votes
1answer
68 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 ...
1
vote
0answers
22 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
63 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 ...
4
votes
1answer
154 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
votes
2answers
158 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 ...