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Tag: image

  • FastSAM  for Image Segmentation Tasks — Explained Simply

    FastSAM  for Image Segmentation Tasks — Explained Simply Image segmentation is a popular task in computer vision, with the goal of partitioning an input image into multiple regions, where each region represents a separate object. Several classic approaches from the past involved taking a model backbone (e.g., U-Net) and fine-tuning it on specialized datasets. While…

  • LatticeVision: Image to Image Networks for Modeling Non-Stationary Spatial Data

    LatticeVision: Image to Image Networks for Modeling Non-Stationary Spatial Data arXiv:2505.09803v1 Announce Type: new Abstract: In many scientific and industrial applications, we are given a handful of instances (a ‘small ensemble’) of a spatially distributed quantity (a ‘field’) but would like to acquire many more. For example, a large ensemble of global temperature sensitivity fields…

  • From RGB to HSV — and Back Again

    From RGB to HSV — and Back Again Introduction A fundamental concept in Computer Vision is understanding how images are stored and represented. On disk, image files are encoded in various ways, from lossy, compressed JPEG files to lossless PNG files. Once you load an image into a program and decode it from the respective…

  • Diffusion Models, Explained Simply

    Diffusion Models, Explained Simply Introduction Generative AI is one of the most popular terms we hear today. Recently, there has been a surge in generative AI applications involving text, image, audio, and video generation. When it comes to image creation, Diffusion models have emerged as a state-of-the-art technique for content generation. Although they were first introduced…

  • Modern GUI Applications for Computer Vision in Python

    Modern GUI Applications for Computer Vision in Python Introduction I’m a huge fan of interactive visualizations. As a computer vision engineer, I deal almost daily with image processing related tasks and more often than not I am iterating on a problem where I need visual feedback to make decisions. Let’s think of a very simple image…

  • The Art of Noise

    The Art of Noise Introduction In my last several articles I talked about generative deep learning algorithms, which mostly are related to text generation tasks. So, I think it would be interesting to switch to generative algorithms for image generation now. We knew that nowadays there have been plenty of deep learning models specialized for…

  • Image Captioning, Transformer Mode On

    Image Captioning, Transformer Mode On Introduction In my previous article, I discussed one of the earliest Deep Learning approaches for image captioning. If you’re interested in reading it, you can find the link to that article at the end of this one. Today, I would like to talk about Image Captioning again, but this time…

  • 4-Dimensional Data Visualization: Time in Bubble Charts

    4-Dimensional Data Visualization: Time in Bubble Charts Bubble Charts elegantly compress large amounts of information into a single visualization, with bubble size adding a third dimension. However, comparing “before” and “after” states is often crucial. To address this, we propose adding a transition between these states, creating an intuitive user experience. Since we couldn’t find…

  • Six Ways to Control Style and Content in Diffusion Models

    Six Ways to Control Style and Content in Diffusion Models Stable Diffusion 1.5/2.0/2.1/XL 1.0, DALL-E, Imagen… In the past years, Diffusion Models have showcased stunning quality in image generation. However, while producing great quality on generic concepts, these struggle to generate high quality for more specialised queries, for example generating images in a specific style,…

  • Show and Tell

    Show and Tell Photo by Ståle Grut on Unsplash Introduction Natural Language Processing and Computer Vision used to be two completely different fields. Well, at least back when I started to learn machine learning and deep learning, I feel like there are multiple paths to follow, and each of them, including NLP and Computer Vision,…

  • Satellite Image Classification with Deep Learning — Complete Project

    Satellite Image Classification with Deep Learning — Complete Project A Comprehensive Guide Using PyTorch and CNNs Continue reading on Towards Data Science » Leo Anello Go to original source

  • Sustainable Business Strategy with Data Analytics

    Sustainable Business Strategy with Data Analytics Use data analytics to help companies design and implement strategic sustainability roadmaps to reduce their environmental footprint. Sustainable Business Strategy with Analytics — (Image by Samir Saci) Consensus means that everyone agrees to say collectively what no one believes individually. This quote captures a critical issue many companies face during their strategic…

  • Conditional Variational Autoencoders for Text to Image Generation

    Conditional Variational Autoencoders for Text to Image Generation Investigating an early generative architecture and applying it to image generation from text input Recently I was tasked with text-to-image synthesis using a conditional variational autoencoder (CVAE). Being one of the earlier generative structures, it has its limitations but is easily implementable. This article will cover CVAEs at…