Questions tagged [image-segmentation]
For questions related to image segmentation (in computer vision and related AI fields).
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32 views
How do I generate a feature representation of a saliency map (or mask)?
Generally, CNNs are used to extract feature representations of an image. I'm right now dealing with the class of CNN that produces saliency maps, which are generally in the format of a mask. I'm ...
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0answers
16 views
Tversky Loss paper implementation: Recall/Precision do not improve as stated
I have been trying to implement this paper and I am very much intrigued. I am working on a medical image problem where I have to segment very small specimens on Whole Slide Images (gigapixel ...
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20 views
What are the current tools and techniques for image segmentation in order of pragmatism?
To explain what I mean I'll depict the two extremes and something in the middle.
1) Most pragmatic: If you need to just segment a few images for a design project, forget AI. Go into Adobe Photoshop ...
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26 views
What is the difference between using a backbone architecture and transfer learning?
I'm super new to deep learning and computer vision, so this question may sound dumb.
In this link (https://github.com/GeorgeSeif/Semantic-Segmentation-Suite), there are pre-trained models (e.g., ...
2
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1answer
51 views
What make a CNN suitable for image classification or for semantic segmentation?
I've just started with CNN and there is something that I haven't understood yet:
How do you "ask" a network: "classify me these images" or "do semantic segmentation"?
I think it must be something on ...
2
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1answer
40 views
How many ways are there to perform image segmentation?
I'm new in Artificial Intelligence and I want to do image segmentation.
Searching I have found these ways
Digital image processing (I have read it in this book: Digital Image Processing, 4th edition)...
2
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1answer
29 views
Semantic Segmentation For Multiple Objects When Trained On Single Object
More of a conceptual question here:
I'm working on semantic segmentation tasks in the medical space using the U-Net. Let's say that I train a U-Net model on medical images with the goal of segmenting ...
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30 views
Find the nearest object in a image which is captured from camera?
Objective : To find the nearest object (closer distance object) in the single camera image. But Image Contains multiple objects shown below:
I searched in the net and found this formula to ...
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17 views
How to train image segmentation task with only one class?
Is there a neural network that has architecture optimizations for segmenting only one class (object and background)? I have tried U-net but it is not providing good enough results.
I am wondering if ...
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0answers
18 views
Using U-NET for image semantic segmentation
If it is not the right place to ask this question, please tell me and I move it to the right place.
I'm getting literally crazy trying to understand how U-NET works. Maybe it is very easy but I'm ...
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32 views
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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1answer
136 views
Deep learning for bitmap tracing: extract simple svg paths from bitmaps
I need an algorithm to trace simple bitmaps which only contain paths with a given stroke width.
It is obviously very easy to generate bitmaps from vector paths, so creating data for a machine ...
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0answers
26 views
How can I improve the performance of a model trained to detect vehicle poses?
I'm looking for some suggestions on how to improve our vehicle image recognition. We have an online marketplace where customers submit photos of their vehicles. The photos need to meet certain ...
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1answer
24 views
Best approach for 2D Grid Image Segmentation
I'm working on a project where I need to extract text from grocery discount flyers like the Costco announcement below (retrieved in a random google search, Costco is not the deal here):
If I just run ...
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0answers
13 views
How to measure the size of an crack which is segmented from an image using Mask-RCNN?
I am a masters student going to work in a project to analyze the cracks in underwater concrete structures.
I need some suggestions for data acquisition and length measurement of the crack.
I have ...
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48 views
creating your own dataset similar to cityscapes format
I'm trying to train a neural network with my own dataset. The neural network can accept the cityscape format.
Is there any application that can give mask/segmented image, instance image, label IDs ...
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17 views
Segmentation of a static object in a video
I've videos from a mounted camera on a helmet and the manually segmented labels (mask) of them.
The mask is valid through the entire video, only the scene vary.
In different videos the camera is ...
2
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1answer
50 views
Do models train better if the dataset is more specific? (Semantic Segmentation / Bounding Box / Image classification)
I'm working on a project where there is a limited dataset of videos (about 200). We want to train a model that can detect a single class in the videos. That class can be of multiple different types ...
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2answers
69 views
What are the best algorithms for image segmentation tasks?
I recently started looking for networks that focus on image segmentation tasks related to biomedical applications. I could not miss the publication U-Net: Convolutional Networks for Biomedical Image ...
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0answers
40 views
Is there a deep learning-based architecture for digit localisation?
I'm new to object detectors and segmentation. I want to localize digits on a plate as fast as possible. All images of the dataset are normalized to $300 \times 60$. There are different approaches to ...
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0answers
22 views
Resizing effects on image recognition
I have been building a multilabel image classification model using inception v3, which uses images of size 299x299, I have been wondering what are the effects of feeding images of rectangular shapes ...
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1answer
66 views
“Outside-in” versus “Inside-out” machine learning
A little background... I’ve been on-and-off learning about data science for around a year or so, however, I started thinking about artificial intelligence a few years ago. I have a cursory ...
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12 views
How much data is needed to train a deep learning model to detect instance masks?
I am trying to get an idea of how much data is needed to train a deep convolutional neural network to detect instance masks from images. I am interested in both papers that have been written on the ...
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0answers
21 views
Confidence Maps and Non-Linearity
I am currently trying to improve a CNN architecture that was proposed for generating depth images.
The architecture was originally proposed for autonomous driving and it looks like following :
The ...
2
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1answer
130 views
What does the words “coarse” & “fine” means in the context of computer vision and semantic segmentation?
I was reading the well know paper Fully Convolutional Networks for Semantic Segmentation and throughout the whole paper they talk use the term fine and coarse. I was wondering what the meant. The ...
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0answers
20 views
What are some neural network models that can use auxiliary info during training for image segmentation?
What are some deep learning models that can use supplementary information other than RGB channels for image segmentation? For example imagine a poorly shot image of a river (blue) that shows a gap, ...
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0answers
29 views
Which model to use when selecting objects of interest?
I have a set of polygons for each image. Those polygons consist of four $x$ and $y$ coordinates. For each image, I need to extract the ones of interest. This could be formulated as an Image ...
2
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1answer
48 views
How to add some data input in a CNN?
There is this problem I have encountered, I was trying to classify the pixels from input image into classes, sort of like segmentation, using a encoder-decoder CNN. The “interested” pixels usually ...
2
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1answer
222 views
Which evaluation methods can I use for image segmentation?
I implemented an image segmentation pipeline and I trained it on the DICOM dataset. I compared the results of the model with manual segmentation to find the accuracy. Is there other methods for ...
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1answer
91 views
How do I segment each part of a DICOM image?
As I'm beginner in image processing, I am having difficulty in segmenting all the parts in DICOM image.
Currently, I'm applying watershed algorithm, but it segments only that part that has tumour.
...
