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// AI Video Annotation Services

Video Annotation

Video annotation involves the process of labeling or tagging various elements within a video dataset. This annotation process is crucial for training and improving machine learning models, particularly those used in computer vision tasks such as object detection, object tracking, action recognition, and scene understanding. Video annotation typically involves labeling objects, actions, events, or other relevant elements within individual frames or sequences of frames in a video.

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    // our services

    VIDEO ANNOTATION SERVICES

    01
    2D BOUNDING BOXES
    It delineates the borders of objects within a two-dimensional area through graphical depictions. These bounding boxes commonly find application in computer vision and machine learning endeavours to delineate regions of interest pertaining to objects.
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    02
    3D CUBOID ANNOTATION
    This method is employed to detect and identify 3D objects present in images. It aids machines in determining the depth of various entities such as vehicles, individuals, buildings, and other similar objects.
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    03
    LANDMARK ANNOTATION
    Businesses employ this method to ascertain the form and emotion of natural objects, such as facial features and emotions, by utilizing a sequence of points. Additionally, it aids in constructing precise datasets for delineating the shape of items of various sizes.
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    04
    EVENTS CLASSIFICATION
    This process entails manually assigning appropriate labels or tags to video clips associated with a specific event or category. The annotation procedure involves manually delineating bounding boxes around objects within individual frames of the video and assigning them the relevant class label.
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    05
    POLYGON ANNOTATION
    This annotation method entails marking and sketching shapes on a digital image, facilitating the identification of objects within the image according to their position and orientation. It encompasses labeling images with irregular dimensions.
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    06
    LINES & SPLINES
    Lines and splines annotation involves marking and defining lines or curves within images or datasets for various purposes, including computer vision, image processing, and geometric modeling.
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    07
    3D POINT CLOUD ANNOTATION
    This method serves for detecting and identifying 3D objects depicted in images. It assists machines in gauging the depth of various objects including vehicles, people, buildings, and other entities.
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    08
    EVENT TRACKING
    The datasets derived from video annotation can be utilized to develop an event-tracking system, offering valuable insights into user behavior. For instance, it can provide information on the frequency of visits to specific locations or the occurrence rate of particular events. This system is instrumental in understanding user behavior, such as visitation patterns and event occurrences.
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    // our clients

    We are Trusted
    15+ Countries Worldwide

    Emilia Clarke
    Moonkle LTD,
    Client of Company
    "Very well thought out and articulate communication. Clear milestones, deadlines and fast work. Patience. Infinite patience. No shortcuts. Even if the client is being careless. The best part...always solving problems with great original ideas!."
    Emilia Clarke
    SoftTech,
    Manager of Company
    "Patience. Infinite patience. No shortcuts. Very well thought out and articulate communication. Clear milestones, deadlines and fast work. Even if the client is being careless. The best part...always solving problems with great original ideas!."
    Emilia Clarke
    Moonkle LTD,
    Client of Company
    "Very well thought out and articulate communication. Clear milestones, deadlines and fast work. Patience. Infinite patience. No shortcuts. Even if the client is being careless. The best part...always solving problems with great original ideas!."
    Emilia Clarke
    SoftTech,
    Manager of Company
    "Patience. Infinite patience. No shortcuts. Very well thought out and articulate communication. Clear milestones, deadlines and fast work. Even if the client is being careless. The best part...always solving problems with great original ideas!."
    // why choose us?

    Why ESSDEL for Video Annotation Services?

    Our team of experts employ there hands-on experience on various Image annotation methods, to help our worldwide clients. 
    //Industries

    USE CASES FOR VIDEO ANNOTATION

    RETAIL
    Assisting the retail and e-commerce sectors by providing training data to optimize their in-store operations through the implementation of artificial intelligence (AI).
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    ROBOTICS
    3D object detection finds extensive application in robotics, particularly to prevent collisions with dynamic entities such as humans, animals, and other objects.
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    AGRICULTURE
    Supporting agriculture through computer vision training data involves facilitating the identification of product defects, sorting produce, managing livestock, assessing soil quality, implementing fertilizer applications, and fine-tuning genetic conditions.
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    INSURANCE
    Preparing training data to integrate AI into insurance procedures for tasks such as risk assessment, fraud detection, underwriting and minimizing human error.
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    HEALTHCARE
    Incorporating annotations and accurate labeling within AI systems is crucial for uncovering connections within genetic codesand enhancing efficiency in healthcare processes.
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    SECURITY & SURVEILLANCE
    Facilitating the integration of AI into cameras and sensors enables the detection of potential risks at workplaces, airports, and industrial sites. This involves incorporating computer vision technology into security and surveillance systems.
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    SELF-DRIVING
    Bounding boxes serve to annotate the surroundings of a vehicle, aiding in the detection of various objects including pedestrians, vehicles, traffic signs, and barriers.
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    LOGISTICS
    Logistics represents one of the growing areas of artificial intelligence application. We specialize in annotating images of goods to generate high-quality training data utilized in logistics.
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    AUTONOMOUS FLYING
    Simplifying and broadening access to AI implementations for automated or assisted flight can be achieved by leveraging image annotation conducted at the backend using training data specifically tailored for autonomous flying.
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