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Questions tagged [image-recognition]

For questions about the image-recognition abilities of AI.

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1answer
7 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, ...
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How to add 2 new classes to trained Res50 Net(Keras)

I have 2 new collections of images, for example(just for example) cucumbers and tomatoes. I want to get 3 probabilities. Prob if img is a tomato, cucumbers, and the third prob for any another object. ...
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1answer
43 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 ...
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1answer
24 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 : -...
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Is Mobilenet_V2 trained on the COCO dataset or on the ILSVRC-2012-CLS dataset better for classifying objects in aerial data?

I would like to use a pretrained CNN Mobilenet_V2 for classifying objects in aerial data. Is Mobilenet_V2 trained on the COCO dataset suitable for classifying objects from aerial images or are there ...
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0answers
13 views

How to train a multi inputs deep learning model using every combination of inputs?

I am beginner in deep learning. I want to create a multi inputs CNN model in Keras. The model takes two inputs of images to give the two images class. The two images from differnt datasets that have ...
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1answer
27 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 ...
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0answers
11 views

Multi-inputs Convolutional Neural Network Examples

I am new in deep learning field, and I want to create a Convolutional Neural Network (cnn) that takes two inputs of images and produces one output of the inputs class. I have searched for sources of ...
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0answers
9 views

Find links between colors of an old image and its corresponding new image representing the same object

Wasn't really sure on which forum to post my question, I thought it fitted well in here, so: I have different versions of some same creature (an old one and a most recent one, actually), and since ...
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0answers
23 views

Is there any negative impact on classification model if training image data is rotated out of canvas?

Take training image classification model as an example, when there is limited amount of data, it is not uncommon to augment data by randomly rotating image data but I often see the resulting image is ...
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0answers
14 views

ROC curve and Precision in Deep Learning

I am working in a deep learning project for image classification. I used Vgg16 to create the model and the dataset has 100 classes. The model accuracy is 98.9% and loss is 0.1731 And I got the ...
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1answer
33 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/...
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1answer
49 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 ...
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1answer
26 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 ...
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1answer
19 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 ...
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0answers
19 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 ...
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1answer
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1answer
43 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 ...
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1answer
15 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?
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1answer
23 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 ...
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4answers
77 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 ...
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1answer
20 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.
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1answer
30 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 ...
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0answers
44 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, ...
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1answer
73 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
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1answer
55 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 ...
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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 (...
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0answers
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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 ...
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1answer
34 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 ...
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0answers
54 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 ...
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2answers
104 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 ...
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1answer
34 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
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2answers
76 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. ...
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2answers
86 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 ...
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2answers
38 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
61 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
17 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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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 ...
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1answer
99 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 ...
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2answers
133 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
331 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
296 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
78 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
74 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
27 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
74 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
95 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 ...
3
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1answer
467 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
29 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
78 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 ...