Showing 4 open source projects for "image classification"

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  • 1
    labelme Image Polygonal Annotation

    labelme Image Polygonal Annotation

    Image polygonal annotation with Python

    Labelme is a graphical image annotation tool. It is written in Python and uses Qt for its graphical interface. Image annotation for polygon, rectangle, circle, line and point. Image flag annotation for classification and cleaning. Video annotation. (video annotation). GUI customization (predefined labels / flags, auto-saving, label validation, etc). Exporting VOC-format dataset for semantic/instance segmentation.
    Downloads: 6 This Week
    Last Update:
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  • 2
    OpenFace Face Recognition

    OpenFace Face Recognition

    Face recognition with deep neural networks

    OpenFace is a Python and Torch implementation of face recognition with deep neural networks and is based on the CVPR 2015 paper FaceNet: A Unified Embedding for Face Recognition and Clustering by Florian Schroff, Dmitry Kalenichenko, and James Philbin at Google. Torch allows the network to be executed on a CPU or with CUDA. This research was supported by the National Science Foundation (NSF) under grant number CNS-1518865. Additional support was provided by the Intel Corporation, Google,...
    Downloads: 0 This Week
    Last Update:
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  • 3
    AiHound

    AiHound

    AI powered image classification for nudity and documents / id-cards

    AI Hound is designed to run from an USB pendrive or any other kind of removeable and writeable media. The programm checks all Office-documents, Images and videos for various categories for images. Actually It can recognice nudity/porn and scanned or photographed documents / ID- and credit-cards. I am working on a model that also recognice various types of drugs in images.
    Downloads: 5 This Week
    Last Update:
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  • 4

    Wildlife Classifier

    Tool for classifying & evaluating wildlife species from their images

    A simple interactive application that classifies a wide variety of wildlife species including mammals, marine animals, birds, insects, reptiles, and a few plants from their images and displays their ecological roles. The tool is accurate, compact, and does not require internet connectivity.
    Downloads: 0 This Week
    Last Update:
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