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Questions tagged [semantic-segmentation]

Semantic segmentation is the task of classifying every pixel in the image to a category or class label.

Semantic segmentation is the task of classifying every pixel in the image to a category. It refers to the process of linking each pixel in an image to a class label. Some of its primary applications are in autonomous vehicles, human-computer interaction & robotics.

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How to improve image segmentation with feature engineering?

I have built a U-net model for image segmentation of 3-channel remote sensing images. I have two classes that look very similar and are hard to distinguish in the images without extra context. In this case, extra context would be the distance to…
Ellio
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What Thresholding Algorithm should be used to segment out patches on a road?

I am working on a task to detect patches on road. However, in pre-processing, I am unable to figure out what technique should I use to take out patches using thresholding. I have used several thresholding techniques out of which Otsu's Multi-level…
hawaee
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Characterizing and Separating Overlapping Objects and Edge Shared Objects

I have binary segmentation masks of nuclei edges which I want to analyze post segmentation. Specifically, each object needs to be identified individually. Many of the objects are overlapping or sharing an edge making it difficult to automatically…
D Aslam
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Semantic Segmentation Loss Function for known number of objects and object shape

In my use case, the number of the objects is always one and the object is always ellipse-shaped. When training, I notice that the segmentation model occasionally predicts multiple objects (noise are other). Is there any way to formulate a Keras loss…
Riley K
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How to group the image regions of same color and get its coordinates ignoring the background color using python

Input image I need to group the region in green and get its coordinates, like this output image. How to do this in python? Please see the attached images for better clarity
senthil
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Does tensorflow provide an operation like caffe average_loss operation?

due to the limiting of gpu, I want to update my weight after every two step training. Specifically, the network will firstly calculate the fisrt batch inputs and save the loss. And then the network calculate the next batch inputs and average these…
秋豪会有所进
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