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Back to seanbell/opensurfaces-segmentation-ui

Open-source alternatives to Opensurfaces Segmentation Ui

12 open-source projects similar to seanbell/opensurfaces-segmentation-ui, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Opensurfaces Segmentation Ui alternative.

  • wkentaro/labelmewkentaro avatar

    wkentaro/labelme

    15,984View on GitHub↗

    Labelme is a Python-based image annotation tool used to create computer vision datasets. It serves as a visual editor for semantic segmentation, allowing users to define object boundaries using polygons, rectangles, points, and circles. The application also functions as a multispectral image annotator, supporting high-bit depth TIFF files used in satellite and scientific imagery. The tool incorporates AI-assisted labeling capabilities to automate the creation of masks and polygons. These features allow for shape generation driven by text prompts or interactive point selections, which propose

    Python
    View on GitHub↗15,984
  • bearpaw/clothing-co-parsingB

    bearpaw/clothing-co-parsing

    0View on GitHub↗
    View on GitHub↗0
  • csailvision/labelmeannotationtoolCSAILVision avatar

    CSAILVision/LabelMeAnnotationTool

    1,467View on GitHub↗

    Source code for the LabelMe annotation tool.

    JavaScriptannotationcomputer-vision
    View on GitHub↗1,467
  • deep-magic/coco-style-dataset-generator-guiD

    Deep-Magic/COCO-Style-Dataset-Generator-GUI

    0View on GitHub↗
    View on GitHub↗0
  • kyamagu/js-segment-annotatorkyamagu avatar

    kyamagu/js-segment-annotator

    526View on GitHub↗

    JS Segment Annotator

    JavaScript
    View on GitHub↗526

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  • labelbox/labelboxL

    Labelbox/Labelbox

    0View on GitHub↗
    View on GitHub↗0
  • lemondan/humanparsing-datasetL

    lemondan/HumanParsing-Dataset

    0View on GitHub↗
    View on GitHub↗0
  • lzx1413/labelimgplusL

    lzx1413/labelImgPlus

    0View on GitHub↗
    View on GitHub↗0
  • akshayubhat/imagesegmentationA

    AKSHAYUBHAT/ImageSegmentation

    0View on GitHub↗
    View on GitHub↗0
  • microsoft/airsimmicrosoft avatar

    microsoft/AirSim

    17,956View on GitHub↗

    AirSim is a high-fidelity simulation platform designed for the development and testing of autonomous vehicles. Built as a plugin for game engines, it provides a physics-based environment that models vehicle dynamics and sensor data, serving as a foundation for robotics research, computer vision training, and reinforcement learning. The platform distinguishes itself through its support for hardware-in-the-loop and software-in-the-loop testing, allowing developers to validate control logic and firmware against real-world signals or concurrent processes. It offers extensive programmatic control

    C++aiairsimartificial-intelligence
    View on GitHub↗17,956
  • opencv/cvatopencv avatar

    opencv/cvat

    16,086View on GitHub↗

    CVAT is an open-source computer vision annotation tool and visual dataset management platform. It provides a self-hosted interface for labeling images, videos, and 3D data to create datasets for vision AI models. The platform features AI-assisted data labeling to automate the creation of masks and bounding boxes, utilizing a plug-in system to connect external machine learning models. It includes a consensus-based quality assurance system that verifies label accuracy by comparing independent annotations. The system covers collaborative team management, project organization through task decomp

    Python
    View on GitHub↗16,086
  • maiot-io/zenmlmaiot-io avatar

    maiot-io/zenml

    5,452View on GitHub↗

    ZenML is an extensible machine learning orchestration framework designed to manage the end-to-end lifecycle of data pipelines and AI agent workflows. It functions as a durable orchestrator that executes machine learning tasks as directed acyclic graphs, ensuring that every step is containerized for consistent performance across local, cloud, and hybrid infrastructure. By decoupling pipeline code from underlying compute and storage backends, the platform allows developers to define infrastructure-agnostic stacks that remain portable across diverse environments. The project distinguishes itself

    Python
    View on GitHub↗5,452