Search Results for "watershed image segmentation"

Showing 6 open source projects for "watershed image segmentation"

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  • 1
    Easy DataSet

    Easy DataSet

    A powerful tool for creating datasets for LLM fine-tuning

    Easy DataSet is a comprehensive open-source tool designed to make creating high-quality datasets for large language model fine-tuning, retrieval-augmented generation (RAG), and evaluation as easy and automated as possible by providing intuitive interfaces and powerful parsing, segmentation, and labeling tools. It supports ingesting domain-specific documents in a wide range of formats — including PDF, Markdown, DOCX, EPUB, and plain text — and can intelligently segment, clean, and structure...
    Downloads: 2 This Week
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  • 2
    Flying-Bird-Wallpaper

    Flying-Bird-Wallpaper

    Flying Bird Wallpaper is a feature-rich desktop wallpaper application

    Flying Bird Wallpaper is a feature-rich desktop wallpaper application that supports multiple wallpaper types including images, videos, rhythm wallpapers, and solid colors, making your desktop unique and vibrant.
    Downloads: 1 This Week
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  • 3
    Deep Learning 500 Questions

    Deep Learning 500 Questions

    500 Questions on Deep Learning using a question-and-answer format

    ...The first sections focus on essential mathematics, machine learning basics, and deep learning foundations, establishing the groundwork for more advanced topics. Later chapters explore classic neural network structures such as CNNs, RNNs, and GANs, as well as key applications in computer vision like object detection and image segmentation. The resource also delves into optimization methods, including transfer learning, network architecture design, hyperparameter tuning, model compression, and acceleration techniques.
    Downloads: 0 This Week
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  • 4
    Semantic Segmentation Editor

    Semantic Segmentation Editor

    Web labeling tool for bitmap images and point clouds

    A web-based labeling tool for creating AI training data sets (2D and 3D). The tool has been developed in the context of autonomous driving research. It supports images (.jpg or .png) and point clouds (.pcd). It is a Meteor app developed with React, Paper.js, and three.js.
    Downloads: 0 This Week
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  • 5
    FATCALC-ImageJ is an ImageJ macro (fully automated) for unsupervised fat segmentation in magnetic resonance imaging. It was developed for GE T1 2-points Dixon sequences (fat only image). FATCALC independently evaluates the volumes of visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT).
    Downloads: 0 This Week
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  • 6
    Monk Computer Vision

    Monk Computer Vision

    A low code unified framework for computer vision and deep learning

    ... - Monk Object Detection - https://github.com/Tessellate-Imaging/Monk_Object_Detection. Monk object detection is our take on assembling state of the art object detection, image segmentation, pose estimation algorithms at one place, making them low code and easily configurable on any machine. - Monk GUI - https://github.com/Tessellate-Imaging/Monk_Gui. An interface over these low code tools for non coders.
    Downloads: 0 This Week
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