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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Binary Classification of a ship Dataset

I want to create a ship detection classifier from a dataset that is formed by 4000 photos(3072*2048).Basically i want to classify the dataset to ship-image and no-ship. I am thinking of 2 solutions- ...
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Train building classifier for imagerial data

I am using the https://www.arcgis.com/ api for accessing imagery of aerial data. I would like to train a model that can caputure on the imagery if the provided ...
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How can I make my own Neural Network model for Object Detection?

I'm using the ImageAI module in Python3 to do some object detection on some images I scraped from a video game. In testing, I am able to successfully detect normal world objects from a test photo of a ...
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Real-time or offline Data Augmentation for segmenting microscopy images?

I'm doing semantic segmentation(for cells) using microscopy images. I'm exploring U-net and FCN DenseNets for the task. In the U-net paper the authors have trained their model only from 30 images but ...
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Image-to-Image Regression for GO territory classification

I'm trying to implement a neural network that is able to generate an image indicating territory occupation given a board state for GO (a strategy board game). Input images are 19x19x1 grayscale images,...
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How to recognize overlapping digits?

I've got a set of images with overlapping digits which need to be recognized. The task seems a good fit for neural networks but the issue is that they are used to have inputs as single digits but in ...
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How do I get started with machine learning and image recognition?

I'd like to get started with machine learning, specifically image recognition. I know that Python is the most popular language for ML since it's easy to pick up and there's tons of libraries for it. I ...
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Keypoint detection from an image using a neural network

I am trying to design and train a neural network, which would be able to give me coordinates of certain key points in the image. Dataset I've got a dataset containing 1800 images similar to these: ...
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Faster RCNN What may cause this explosion on diagram?

While training the model using legacy/train.py, the total loss converges to 0.9 and after 17k steps it's instant increase to 10^13. What may cause this explosion on diagram? Any idea? Operating system:...
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Confidence value for face recognition

In the context of face recognition I have the following histogram: blue bins count the comparison distances for "self matches" (comparing two images of the same person). Orange bins count the ...
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How to create anchor-positive and anchor-negative pair for feature X in a signature data set for training Siamese network

How to create anchor-positive and anchor-negative pair for feature X in a signature data set for training Siamese network? Im have a cedar signature data set with 55 peoples signatures(classes) with ...
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How to recognize product based on image using neural network?

Company has many products in their offer (some about 100,000), some of these are very similar to each other. In database there is available only one image per product. Company want to make possible ...
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Facial recognition architecture

Image recognition uses deep learning, and in particular CNNs to train on and recognise faces. Usually, this entails training on lots of data. However, recently, we have seen face recognition being ...
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Variational Autoencoder: Negative log likelihood not optimized

I am using the auto encoding variational Bayes algorithm for one unsupervised object detection task. In the loss function, the reconstruction loss is calculated as the log likelihood of the original ...
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illumination problem for face landmark detection

I trained dlib face landmark detection model using ibug and yaleB datasets. Accuracy of the model is dropping when a bright light or a shadow appears on the side face. Used default parameters and ...
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How can you build a model that extracts data out from receipts?

I'm trying to build a model that is capable of identifying information on receipts and invoices. I have used google cloud vision api for text extraction from the receipt but the problem is it just ...
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how to resolve this error in Tesseract : (2, 'Usage: pytesseract [-l lang] input_file') [closed]

pytesseract.pytesseract.tesseract_cmd = r'/usr/local/bin/pytesseract' img = Image.open("/content/drive/My Drive/abc.jpg") print(pytesseract.image_to_string(img)) ...
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Best model for removing a consistent background image

I'm working on an ML driven background replacement from photos, where the background will always be consistent, but the objects in front of that background (in this case humans) will be different - ...
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Does white balance correction improve the performance of visual object detection?

Visual object detecion aims to locate and recognize objects of interest in images. I wonder, does white balance correction contribute to better performance of visual object detection? Are there any ...
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What should I do with this cv2 error?

here is my code in python : ...
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Does Feeding Edge detected images to the CNNs make sense?

Are edge detected images fed to the CNN based architectures like VGG16, etc? I know that CNNs are able to detect features like Edges, lines, contours, etc but what will happen if one feeds edge ...
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How to extract face details from a image

I am trying to make a face login application that authenticates the user when matching the registered face and the given face. currently, the issue is I cant extract the face descriptions from the ...
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Using context to improve object detection and image classification

we are building an image classifier using the Tensorflow Object Detection API. Our images often appear in groups, e.g. a cluster of dogs playing in the grass. Ofter our model will recognize some of ...
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Face dataset organized by folder [closed]

I'm looking for a quite little/medium dataset (from 50MB to 500MB) that contains photos of famous people organized by folder. The tree structure have to bee something like this: ...
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Which is best FaceNet or dlib_face_recognition_resnet_model_v1?

I am newbie in face recognition related things... As far i observed dlib's frontal_face_detectoris widely used to find the faces in an image and after that, to ...
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How to make a heatmap using keypoints from MPII data set

So I am tiring to figure this out but keep running into a wall. So what I want to do is create a heatmap from a 2D image based on the key points generated from the MPII dataset. I have found a CSV ...
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Add faces (dynamically) to (pretrained) model for face recognition

Im very new to ML and there are loads that I do not understand about both implementation, theory and the math behind the CNNs. I have been looking at various models for face recognition, eg. VGGFace2 ...
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Medical Image Analysis

What are some good starting points for learning medical image analysis and combining it with deep learning? I would like to analyze images with bone cancers but not sure what is proper way to ...
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Tesseract training- JTessBoxEditor issue

I am trying to train my tesseract by making box characters in the images but the JTessBoxEditor is not recognising any characters. When running the command --> tesseract eng.arial.exp1.tiff eng.arial....
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How to perform preprocessing for hyperspectral images

Here I would like to apply the CNN and DNN for face recognition computing and later will compare that both of them which one is better or faster My idea is - In the UWA hyperspectral face database, ...
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Why is Dice loss neglecting random classes?

I implemented Dice loss for a semantic segmentation problem (with a severe class imbalance in my dataset) as follows: ...
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Why do we need convolutions over volume in convolutional neural networks for image recognition?

In convolutional neural networks, we make convolutions of three channels (red, green, blue) with a filter of dimensions $k\times k\times 3$, like in the picture: Each filter consists of adjustable ...
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What is the State of the art method for full body gesture recognition in images

I am working on gesture recognition in images and the best way that I am aware of, is whether using end to end approaches with deep neural networks or extracting body joint positions in an image and ...
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A Question: is it possible for me to create an AI that learns to play games which I did not create?

Mainly, I have a question which I could not find an answer for anywhere, about an AI machine learning game. Is it possible for me to create an AI which can learn a game that I did not myself create, ...
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List of CNN for Emotion/Sentiment recognition on images with performance on main datasets (IAPS, GAPED, EmoPics, NAPS)

There are more and more databases of pictures classified or rated with emotions. For instance, I know of 4 databases (IAPS, GAPED, EmoPics, NAPS) rating pictures on 2 dimensions: Valance (positive vs ...
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Bags of visual words - counter intuitive result

I'm reading the frequently-cited paper Bags of Binary words for Fast Place Recognition in Image Sequences and have found something strange in the paper. The similarity measure is presented as: $s(v_1,...
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Image Recognition Model with Adaptive Learning

Problem Statement: To be able to detect faces of specific people with good accuracy and tag those images with the names of the people it contains. To do this we have about 40 images person, and 10 ...
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Deep learning, signal processing and feature engineering

I have a signals represented in python in dense matrices (the values are y-coordinates from a chart - eg. weather temp etc. in different locations around the world). I'm currently trying to process/...
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How to use skimage.feature.hog to calculate hog of training data where examples are stacked vertically

I have a $n*1024$ dimensional $2D$ array where n is number of examples which contain n images($32*32$) stacked vertically. I would like to calculate the hog of these images ...
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FAISS for similar image search

I have looked at FAISS examples for feature storage and querying. I have not seen any example specific to store / retrieve image vectors ? Please share if there are such real life examples. https://...
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Intersection Over Union / Bounding Box for multiple bounding boxes in an image

My image has 4 ground truth bounding boxes and the prediction just has 3 bounding boxes I need to calculate the quality of bounding boxes predicted. I know how to calculate IoU / IoBB for 2 ...
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My CNN model Accuracy doesn't increase (high loss and low acc)

Well, I need to do a CNN to classify if a Image is from one or another class. But my model return high losses (6.~8.) and low accuracies (0.50 on max). I tried to include more layers, change my ...
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image classification vs image Segmentation

i'm aware of difference between image classification and image segmentation (or detection) I can't find any article comparing performance between 2 approch. I would like to know if doing image ...
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TensorFlow: What is wrong with my (generalized) dice loss implementation?

I use TensorFlow 1.12 for semantic (image) segmentation based on materials. With a multinomial cross-entropy loss function, this yields okay-ish results, especially considering the sparse amount of ...
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How do I identify specific parts of a PDF document?

I have a bunch of medical records that I have to input manually. I would like to automate this but all of the records are in different formats. What is the best strategy to build a deep learning model ...
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Why is a general/original softmax loss not preferred in FR (face recognition)?

In some papers I've read that softmax loss is not preferred in FR since it does not give a good inter-class and intra-class margins, but could not understand 'why?'. So can someone explain, why ...
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Selfie image embeddings

https://arxiv.org/pdf/1906.02940.pdf I have read an article and want to implement an embedding algorithm. My problem is that I do not fully understand how the classifier is built in the decoder. More ...
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Can Microsoft's cognitive service find similar person in a set of images without using the face service?

I need to create an application that can detect if a person X entered as an input exists in an image set and return as output all the images in which the person X exists. The problem is that the ...
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How and Why to rescale image range between [0,1] and [-1,1]

I am trying to implement model described in Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network in which author says in section 3.2 that We scaled the range of the ...
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Super Resolution CNN vs Regular CNN

I am digging into finding a solution for background subtraction and one of the requirements is to not loose in quality of input image. Found that there is a specific type of CNN like Super Resolution ...

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