Questions tagged [image-recognition]

A form of signal processing where the input is an image. Usually treating the digital image as a two-dimensional signal (or multidimensional). This processing may include image restoration and enhancement (in particular, pattern recognition and projection).

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What computer vision task does describing the features of images comes under?

I have a very noob question - Is there a computer vision task category for the task when you describe the objective feature of the images like - brightness, focus, artefacts and hence classify the ...
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Can you use a Confusion Matrix for a image detection problem?

I have read the classic examples of using a Confusion Matrix for a classification problem. ("Does a patient have cancer, or not?) The ML system I am working with is for detecting objects in an ...
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Determine postion of dart in dartboard

I'm new to machine learning and I want to built my first project. I decided to write an application which determines the postion of a dart in a dartboard. The neural network would have the following ...
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Image size for training transfer learning model for object detection purposes

I am trying to build transfer learning model to detect objects from video streams. There will be at least two or three different objects (classes) which are quite different from each other. The ...
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107 views

Algorithms to do a CTRL+F (find object) on an image

We all know the CTRL+F "Find text..." feature in text editors / browsers. I'd like to study the available algorithms to do something similar on an image. Example of UI/UX: let's say you have ...
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How can I correctly identify an item within a larger image, but also detect if the item is the correct orientation?

I have some machinery at work with a small sticker I am trying to detect within a larger image. I am familiar with object detection techniques based on a trained classification model, but to further ...
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Using Object Detection or Image Segmentation without labelled input data to build a dataset to then be manually labelled?

I'm looking to build an object detection model or image segmentation model, ideally the latter, which will identify and label objects from satellite imagery but I don't currently have any labelled ...
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Is there any difference between classifying images by their type and by the objects they represent?

Let us suppose that I would like to train a machine learning model for classifying images according to their types (for example, photographs and drawings). The techniques that I can use for this would ...
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Trouble with anomaly/novelty detection (on microscale) - need easy practical guide with Keras

I am relatively new to the field of machine learning. However, I already have solved simple image classification tasks with Keras (for example building CNNs and classifying MNIST...). The rough deep ...
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Reducing Validation loss for Triplet Loss Embeddings

I'm trying to create a facial recognition detector using triplet loss followed by a kNN algorithm. I have roughly 10000 input images with 3 different classes, input size is 80x80. Model structure uses ...
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Can i segment/crop out image using image processing?

I have a large dataset of bottles. I want to train a model with this dataset. But before feeding the input images to the model I want to crop out the bottle from the background. Is there a way to do ...
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How to estimate Coal Level in a Coal Train

I want to estimate coal level in each of the bogies in a moving coal Train. I want to get the percentage of how much it is filled. Can anyone please suggest me how should I proceed?
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Best smoothing image techniques for digit recognition

There are several ways to smooth an image like - Gaussian Blur Median Blurr etc. as mentioned on the page - https://docs.opencv.org/4.5.2/d4/d13/tutorial_py_filtering.html Suppose I have an image ...
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Digit recognition images for testing

I made a python program to solve the digit recognition problem that is mentioned here - https://www.kaggle.com/c/digit-recognizer The sample dataset that is given on this website is basically pixel ...
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How to create COCO format data out of list of boxes

I have $N$ images. I have a script that extracts boundary boxes of an object that I am interested in. For each image, I may get $m$ boxes. There is only one item that I am interested in which is cat. ...
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How to improve the accuracy of the test set of LRCN-based video classification model

An existing LRCN-based video classification model consists of resnet152 provided by torchvision and an LSTM layer, and this model achieves 92% accuracy on the UCF-101 test set. The input range of this ...
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27 views

Best image recognition API to implement for eCommerce Lifestyle/Sculpture site

I'm planning an eCommerce site currently. We are likely running WooCommerce and looking to implement Algolia for our search features. We feel that for our particular purposes, a visual search would be ...
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Classifying visual environment in Tensorflow CNN (video analytics)

I am given a selection of videos of users exploring simulated 3D enviroments (kind of looks like the Sims video game) and I am tasked with being able to classify each room using a tensorflow framework....
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CNN application assessment

I would be glad if someone could give me some hints and assessment for the following project. (I'm relatively new to ML and DL and having only a little theoretical knowledge) My goal is to build a ...
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Predict saved model from live camera for multiclass recognition

I have developed a model with relative good accuracy. I am trying to predict new input image from live camera by detecting or set a bounding box where only hand region are capture. I used the code ...
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Classification report and confusion matrix problem

I am working on sign language recognition system using HOG and KNN. I have 26 classes of 180 images per class. The dataset was split into 1/3(67%) for tanning and 2/3(33%) testing after feature ...
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what is the best way to learn a mapping of images of the size (20x20) to [0,360]?

I have an algorithm which takes an image (20x20 pixels) of an optical shape of a rotating nanoparticle and maps it to an angle in [0,360]. currently the mapping is done by a time-consuming least ...
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35 views

Best approach to clustering images

I am new to unsupervised clustering and I wish to perform clustering on a dataset of 512 images. I want to output n clusters where each cluster holds images that are similar to each other. I do not ...
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Dummy vectors and performance measurement for vector search Face Recognition

I have about thousands of person face (from celebrity dataset LFW), which each person represented by 512 x 1 vector. I stored it on vector DB to build face searching system using embedded feature (...
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2answers
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What is the impact of changing image sources on an image recognition?

I have a fairly general question pertaining to an image recognition ML model. I’ve recently developed an image recognition model using a single camera collecting more than 5000 images and then trained/...
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Siamese Neural Network for massive class variation

I have case to check whether the person has been registered into a database,and if the images has high similiarity with one of the image in the db, i want to retrieve the image information (name, id, ...
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Using machine learning to find the most similar image that contains another image

As the title states I want to use ml (maybe some kind of CNN autoencoder?) to find the most similar image (I have a list of 10k+ images) within another image. I am currently just using opencv with ...
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Basic doubt regarding "training" of a YOLO model

So I have just recently started exploring machine learning, and for a project I was required to train the YOLO v5 model. I first tried it on the coco128 dataset:https://www.kaggle.com/ultralytics/...
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36 views

Count repeating "objects" in a picture

This is my first data-science project and I would love to get some guidance to know how to get started. My problem is the following: I want to count objects that are in a picture. This picture has a ...
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Can I get some advices on inferencing people from upwards using Yolov5?

I'm trying to inference people from upwards and count them using Yolov5. I know the controversy between yolov5 and yolov4, but for me, Yolov5 is more easier and reliable to use, also the setup. I have ...
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CNN regression. help to improve current model [closed]

I have time series grey scale images that show movement of fluid with different densities. I want to predict a pixel value for time t, with (t-3),(t-2),(t-1) 2D images as inputs. I am figuring out how ...
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37 views

Best practices for memory management in image processing

I'm relatively new to data science, and I'm trying to create a CNN model for the Kaggle melanoma competition. I've created the following two functions to transform a folder of JPEG images to a Numpy ...
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Pre-trained models for classifying images with more than 3 input channels

I am working on an image classification problem. My input images have 19 channels. I tried building a CNN model that can handle such inputs. Now I want to learn transfer learning along with this. But ...
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1answer
73 views

best similarity measure for images with different angles

I want to compare different images (where the images are of the same setup but the angles with which the images are taken are different). I want to obtain some sort of similarity score. I tried using ...
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Find starting point and stopping point of noisy pulse

I have noised pulse signal like these. I need to identify starting point and stopping point of each peak. First and third pictures have 2 pulses with noise. Second picture has single pulse with noise. ...
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Split npz Dataset into Train/Test using Sklearn [closed]

I have a dataset of faces stored in an NPZ file that I would like to train it on Siamese Network. To do that, the dataset must be split into train / test using Sklearn. However, when I run the code to ...
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What kind of approach should I apply for face validation with using deep learning? [closed]

My research task is face recognition in cars with using deep learning method. Actually, in example we set an driver randomly and then the question is: Is this person driver or not? So i created an ...
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Finding the position of an arbitrary object in a static image?

One common object detection scenario involves finding trained models in an arbitrary scene. For example, we can train a model to understand what a "bicycle" looks like, by providing various ...
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2answers
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ResourceExhaustedError when building Sequential model

i have a big problem when trying to build my model, ...
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22 views

predict multiple letters in pixels matrix

I have a multilayer perceptron model that is trained to recognize handwritten English letters from an image. In the training set each image matrix had 784 pixel values. The labels of these images ...
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1answer
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How to manage memory constraint and increase speed for 1 vs rest image similarity comparison for over 100k images for computer vision?

I'm looking for ideas on how to do things in a better way, efficiently when using Machine/Deep Learning. I am working on a search improvement problem using Computer vision where I am thinking about ...
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891 views

Keras model has a good validation accuracy but makes bad predictions

I have this model which takes 9000 images in a dataset containing 96 categories of traffic signs, each category has more or less the same number of images (about 50). This is the model I made but ...
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1answer
28 views

Sneakers representation learning

I am trying to make a model which would take an image of shoes as an input and output a meaningful N-dimensional embedding of the shoes, so that they could be searchable/comparable/clustered and used ...
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1answer
47 views

Is there a way to increase the validation accuracy for this model of image recognition?

I'm really new to machine learning, and this model is supposed to differentiate between rock, paper, and scissors. ...
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2answers
497 views

Does resizing the image size, reduce the quality of the images in CNN?

I am doing a project for cancer recognition. My data set has hunderds of images but not of equal size. I wanna resize them to the size of the smallest image. But I am wondering do you think using the <...
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Understanding arcface, sphereface, and their differences

I'm a beginner in ml and I want to make a facial recognition system. While going through the research paper I realized that I'm losing the intuitive sense of the computations. I'm not from a ...
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Create a model that can extract only specific data out of receipts or invoices?

I'm trying to build a model that is capable of identifying only some of the information on receipts and invoices. All the documents having different structure in image format. Sample Data : Click here ...
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Machine learning algorithms for identification and classification of Microorganisms

https://www.google.com/search?q=Viruses+images&tbm=isch&ved=2ahUKEwiB9-fsoL3sAhUJyHMBHWRZB-sQ2-cCegQIABAC&oq=Viruses+images&gs_lcp=...
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Would descriptors of the last hidden layer of two different CNN be the same?

I am given a dataset of 2D medical images. I am asked to extract image descriptors from the hidden layer of the neural network pre-trained on the ImageNet dataset. I consider to use two networks: ...
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Can I tune a model after training it? (Convolutional Neural Network & Classification)

I am relatively new to Data Science and I've recently embarked on a project. Long story short, I've trained a CNN model to distinguish between Male and Female genders. However, I wish to tune my model....

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