Search Results for "object detection" - Page 2

Showing 127 open source projects for "object detection"

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  • 1
    Transformers

    Transformers

    State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX

    ... classification, object detection, and segmentation. Audio, for tasks like speech recognition and audio classification. Transformers provides APIs to quickly download and use those pretrained models on a given text, fine-tune them on your own datasets and then share them with the community on our model hub. At the same time, each python module defining an architecture is fully standalone and can be modified to enable quick research experiments.
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  • 2
    DeepDetect

    DeepDetect

    Deep Learning API and Server in C++14 support for Caffe, PyTorch

    ... of image tagging, object detection, segmentation, OCR, Audio, Video, Text classification, CSV for tabular data and time series. Neural network templates for the most effective architectures for GPU, CPU, and Embedded devices. Training in a few hours and with small data thanks to 25+ pre-trained models. Full Open Source, with an ecosystem of tools (API clients, video, annotation, ...) Fast Server written in pure C++, a single codebase for Cloud, Desktop & Embedded.
    Downloads: 0 This Week
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  • 3
    Pytorch-toolbelt

    Pytorch-toolbelt

    PyTorch extensions for fast R&D prototyping and Kaggle farming

    ...: BinaryFocalLoss, Focal, ReducedFocal, Lovasz, Jaccard and Dice losses, Wing Loss and more. Extras for Catalyst library (Visualization of batch predictions, additional metrics). By design, both encoder and decoder produces a list of tensors, from fine (high-resolution, indexed 0) to coarse (low-resolution) feature maps. Access to all intermediate feature maps is beneficial if you want to apply deep supervision losses on them or encoder-decoder of object detection task.
    Downloads: 0 This Week
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  • 4
    deepdoctection

    deepdoctection

    A Repo For Document AI

    DeepDoctection is a document AI framework that applies deep learning techniques to analyze and extract structured data from scanned documents, PDFs, and images. deepdoctection is a Python library that orchestrates document extraction and document layout analysis tasks using deep learning models. It does not implement models but enables you to build pipelines using highly acknowledged libraries for object detection, OCR and selected NLP tasks and provides an integrated frameworks for fine-tuning...
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    bbox-visualizer

    bbox-visualizer

    Make drawing and labeling bounding boxes easy as cake

    Make drawing and labeling bounding boxes easy as cake. This package helps users draw bounding boxes around objects, without doing the clumsy math that you'd need to do for positioning the labels. It also has a few different types of visualizations you can use for labeling objects after identifying them. There are optional functions that can draw multiple bounding boxes and/or write multiple labels on the same image, but it is advisable to use the above functions in a loop in order to have...
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  • 6
    Longhorn

    Longhorn

    Cloud-Native distributed block storage for Kubernetes

    Historically, adding replicated storage to Kubernetes clusters has always been difficult, thus resulting in many non-cloud-hosted Kubernetes clusters not supporting persistent storage. Longhorn is the solution to this. Longhorn provides highly available, persistent storage for Kubernetes. It is lightweight, simplified, reliable and powerful. It’s easy to deploy and upgrade, cloud-native and best of all, completely free and open source. Longhorn has built-in incremental snapshot and backup...
    Downloads: 0 This Week
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  • 7
    Mesh R-CNN

    Mesh R-CNN

    code for Mesh R-CNN, ICCV 2019

    ...-CNN uses a differentiable mesh representation, allowing it to efficiently refine surface geometry while maintaining high spatial detail. The system combines 2D detection from Mask R-CNN with 3D reasoning modules that output full mesh reconstructions aligned with the input image. It has been evaluated on datasets such as Pix3D, where it demonstrates state-of-the-art performance in reconstructing real-world object geometry.
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  • 8
    Detectron

    Detectron

    FAIR's research platform for object detection research

    Detectron is an object detection and instance segmentation research framework that popularized many modern detection models in a single, reproducible codebase. Built on Caffe2 with custom CUDA/C++ operators, it provided reference implementations for models like Faster R-CNN, Mask R-CNN, RetinaNet, and Feature Pyramid Networks. The framework emphasized a clean configuration system, strong baselines, and a “model zoo” so researchers could compare results under consistent settings. It includes...
    Downloads: 0 This Week
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  • 9
    Exclusively Dark Image Dataset

    Exclusively Dark Image Dataset

    ExDARK dataset is the largest collection of low-light images

    The Exclusively Dark (ExDARK) dataset is one of the largest curated collections of real-world low-light images designed to support research in computer vision tasks under challenging lighting conditions. It contains 7,363 images captured across ten different low-light scenarios, ranging from extremely dark environments to twilight. Each image is annotated with both image-level labels and object-level bounding boxes for 12 object categories, making it suitable for detection and classification...
    Downloads: 1 This Week
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  • 10
    Detic

    Detic

    Code release for "Detecting Twenty-thousand Classes

    Detic (“Detecting Twenty-thousand Classes using Image-level Supervision”) is a large-vocabulary object detector that scales beyond fully annotated datasets by leveraging image-level labels. It decouples localization from classification, training a strong box localizer on standard detection data while learning classifiers from weak supervision and large image-tag corpora. A shared region proposal backbone feeds a flexible classification head that can expand to tens of thousands of categories...
    Downloads: 0 This Week
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  • 11
    SOD

    SOD

    An Embedded Computer Vision & Machine Learning Library

    SOD is an embedded, modern cross-platform computer vision and machine learning software library that expose a set of APIs for deep-learning, advanced media analysis & processing including real-time, multi-class object detection and model training on embedded systems with limited computational resource and IoT devices. SOD was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in open source as well as commercial products...
    Downloads: 1 This Week
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  • 12
    dlib C++ Library
    Dlib is a C++ toolkit containing machine learning algorithms and tools for creating complex software in C++ to solve real world problems.
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    Downloads: 156 This Week
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  • 13
    gSOAP Toolkit

    gSOAP Toolkit

    Development toolkit for Web Services and XML data bindings for C & C++

    The gSOAP toolkit is an extensive suite of portable C and C++ software to develop XML Web services with powerful type-safe XML data bindings. Easy-to-use code-generator tools allow you to directly integrate XML data in C and C++. Serializes native application data in XML. Includes WSDL/XSD schema binding and auto-coding tools, stub/skeleton compiler, Web server integration with Apache module and IIS extension, high-performance XML processing with schema validation, fast MIME/MTOM streaming,...
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    Downloads: 386 This Week
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  • 14
    MobileNetV2

    MobileNetV2

    SSD-based object detection model trained on Open Images V4

    MobileNetV2 is a highly efficient and lightweight deep learning model designed for mobile and embedded devices. It is based on an inverted residual structure that allows for faster computation and fewer parameters, making it ideal for real-time applications on resource-constrained devices. MobileNetV2 is commonly used for image classification, object detection, and other computer vision tasks, achieving high accuracy while maintaining a small memory footprint. It also supports TensorFlow Lite...
    Downloads: 12 This Week
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  • 15
    Blazeface

    Blazeface

    Blazeface is a lightweight model that detects faces in images

    Blazeface is a lightweight, high-performance face detection model designed for mobile and embedded devices, developed by TensorFlow. It is optimized for real-time face detection tasks and runs efficiently on mobile CPUs, ensuring minimal latency and power consumption. Blazeface is based on a fast architecture and uses deep learning techniques to detect faces with high accuracy, even in challenging conditions. It supports multiple face detection in varying lighting and poses, and is designed...
    Downloads: 6 This Week
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  • 16
    GLOBE_3D

    GLOBE_3D

    A real-time 3D Engine written in Ada

    GLOBE_3D: GL Object Based Engine for 3D. GLOBE_3D is a free, open-source, real-time 3D Engine written in Ada, based on OpenGL. Up-to-date GL bindings - portal rendering - binary space partition - object I/O - tools for importing - and more... More information on... http://globe3d.sf.net Alire crate: https://alire.ada.dev/crates/globe_3d Mirror: https://github.com/zertovitch/globe-3d/
    Downloads: 15 This Week
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  • 17
    Castle Game Engine

    Castle Game Engine

    Game engine supporting many 3D/2D formats and graphic effects

    This project has moved to: - Our website https://castle-engine.io/ - GitHub repo: https://github.com/castle-engine/castle-engine/ Cross-platform 3D and 2D game engine for Object Pascal. Rendering and processing of game assets in glTF, X3D, VRML, Collada, Spine and other formats. Many graphic effects including shadows, shaders, mirrors, screen effects. Animation, collision detection, 3D sound. Extensible system of 3D objects, with out-of-the-box levels, items, intelligent creatures...
    Downloads: 12 This Week
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  • 18
    MoveNet

    MoveNet

    A CNN model that predicts human joints from RGB images of a person

    The MoveNet model is an efficient, real-time human pose estimation system designed for detecting and tracking keypoints of human bodies. It utilizes deep learning to accurately locate 17 key points across the body, providing precise tracking even with fast movements. Optimized for mobile and embedded devices, MoveNet can be integrated into applications for fitness tracking, augmented reality, and interactive systems.
    Downloads: 2 This Week
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  • 19

    Motion Detect

    use your webcam to detect motion

    The program works with a webcam to detect a change in the picture, such as an object or a person moving, and capture frames in a folder, so it can be useful as a motion detection program, i.e. for security purposes.
    Downloads: 1 This Week
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  • 20
    autotools-idl is a patch for automake and some autoconf scripts that adds support for IDL and C++ ORBs. It provides full support for compiling IDL files to C++ stubs and skeletons. The autoconf scripts provide unified detection of different C++ ORBs.
    Downloads: 0 This Week
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  • 21
    ImageAI

    ImageAI

    A python library built to empower developers

    ImageAI is an easy-to-use Computer Vision Python library that empowers developers to easily integrate state-of-the-art Artificial Intelligence features into their new and existing applications and systems. It is used by thousands of developers, students, researchers, tutors and experts in corporate organizations around the world. You will find features supported, links to official documentation as well as articles on ImageAI. ImageAI is widely used around the world by professionals,...
    Downloads: 22 This Week
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  • 22
    PU2CLR SI4735 Arduino Library

    PU2CLR SI4735 Arduino Library

    This document is aimed at the Arduino developers, radio experimenters

    This library uses the I²C communication protocol and implements most of the functions offered by Si47XX (BROADCAST AM / FM / SW / LW RADIO RECEIVER) IC family from Silicon Labs. This library also has primitive functions that make it easier for you to implement commands that may not have been implemented yet. See setProperty, getProperty sendCommand, getCommandResponse and getStatusResponse functions and also How to customize PU2CLR Arduino Library. It is worth noting, however, that this...
    Downloads: 3 This Week
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  • 23
    Pigo

    Pigo

    Fast face detection, pupil/eyes localization

    Fast face detection, pupil/eyes localization and facial landmark points detection library in pure Go. Pigo is a pure Go face detection, pupil/eyes localization and facial landmark points detection library based on the Pixel Intensity Comparison-based Object detection paper. The reason why Pigo has been developed is because almost all of the currently existing solutions for face detection in the Go ecosystem are purely bindings to some C/C++ libraries like OpenCV or dlib, but calling a C program...
    Downloads: 1 This Week
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  • 24
    MMTracking

    MMTracking

    OpenMMLab Video Perception Toolbox

    MMTracking is an open-source video perception toolbox by PyTorch. It is a part of OpenMMLab project. We are the first open-source toolbox that unifies versatile video perception tasks include video object detection, multiple object tracking, single object tracking and video instance segmentation. We decompose the video perception framework into different components and one can easily construct a customized method by combining different modules. MMTracking interacts with other OpenMMLab projects...
    Downloads: 0 This Week
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  • 25
    LifeAI is an artificial intelligence system that can be applied to robotics, games, or business. It simulates key processes of our minds, such as organizing data into concepts and categories, planning actions based on their predicted outcome, and communication. LifeAI was designed to be simple, but powerful and flexible enough to have many applications.
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