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https://issues.apache.org/jira/browse/TRAINING-39?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Christofer Dutz updated TRAINING-39:
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Resolution: Won't Do
Status: Closed (was: Triage Needed)
Spam
> Data annotation: What is it and its uses in Computer Vision and Image Analysis
> ------------------------------------------------------------------------------
>
> Key: TRAINING-39
> URL: https://issues.apache.org/jira/browse/TRAINING-39
> Project: Apache Training
> Issue Type: Wish
> Reporter: Phuong Mai
> Priority: Major
>
> *What is [Data Annotation|https://kotwel.com/services/data-annotation/] for
> Computer Vision?*
> In computer vision, [data
> annotation|https://kotwel.com/services/data-annotation/] is the process of
> annotating samples with metadata for use in machine learning algorithms.
> While data annotation could be used to annotate any type of sample, it is
> most commonly used in [computer
> vision|https://kotwel.com/the-importance-of-accurate-image-annotation-in-computer-vision/]
> applications to create annotations for images, textual descriptions of
> images and so on.
> While annotating images is probably the most common application of data
> annotation in computer vision, there are other uses. For example, data
> annotation can be used to [annotate video or
> audio|https://kotwel.com/services/data-collection/]. When annotating videos
> or audio, the annotations are recorded as metadata and then fed into a
> computer vision algorithm in order to detect objects in the video or to
> extract information from the audio.
> *Data Annotation's Uses in [Computer
> Vision|https://kotwel.com/the-importance-of-accurate-image-annotation-in-computer-vision/]
> and Image Analysis*
> There are many potential applications for data annotation in computer vision
> and image analysis. Such applications have broad potential in many different
> fields, including surveillance, biometric recognition, computer vision,
> e-commerce and marketing. For example, [data
> annotation|https://kotwel.com/services/data-annotation/] could be used to
> [annotate
> images|https://kotwel.com/services/data-annotation/image-annotation/] of
> clothing or other objects. Such an annotation could then be used by a
> computer vision algorithm to identify the clothing or other object based on
> the image and its metadata (the images of the garments themselves).
> While [data annotation|https://kotwel.com/services/data-annotation/] can be
> used for many different applications in computer vision, there are important
> considerations that must be met. If a [computer
> vision|https://kotwel.com/the-importance-of-accurate-image-annotation-in-computer-vision/]
> algorithm is going to use the metadata collected during annotation to
> identify an image or other sample, such as clothing, then it must be able to
> distinguish between different objects. Furthermore, the metadata must be
> accurate, so that the algorithm can make correct decisions on what it is
> viewing.
> *Why accurate [data annotation|https://kotwel.com/services/data-annotation/]
> is important?*
> In order for a [computer
> vision|https://kotwel.com/the-importance-of-accurate-image-annotation-in-computer-vision/]
> algorithm to correctly identify an object in an image, it must have accurate
> metadata. If the metadata is wrong, the algorithm can not reliably make
> decisions based on these data. Hence, accurate metadata collection is
> important for reliable and successful [data
> annotation|https://kotwel.com/services/data-annotation/]. Research has shown
> that missing metadata can result in errors and misidentified objects.
> Examples of such problems include images that appear to be reflections of
> objects but are actually different objects altogether; or images of clothing
> that are actually other types of objects such as plants.
> !https://linkhay.mediacdn.vn/storage/users/hadinh7896/original/2022/05/19/272312.378GY62861d6056b9f.jpeg!
> Accurate Data Annotation at Kotwel
> *How Can We Make [Data
> Annotation|https://kotwel.com/services/data-annotation/] More Accurate?*
> The best way to make data annotations more accurate is by using software that
> automatically locates and makes labels for objects, people, and other images
> in an image. This can be very time consuming, especially if the image has a
> lot of things, but it's a great way to get accurate data if you have the
> right tools.
> Another solution is to find a *[reliable data annotation
> service|https://kotwel.com/services/data-annotation/]* provider. The main
> benefit of using a service like this is that you get to focus on other
> aspects of your research. You don't have to spend time manually making data
> annotations and you don't need to worry about the quality if the provider is
> dedicated and committed to delivering the best result as possible.
> *High-quality [Data Annotation
> Service|https://kotwel.com/services/data-annotation/] at Kotwel*
> Data Annotation can be a time-consuming and costly task. However, there are
> companies that offer *[data
> annotation|https://kotwel.com/services/data-annotation/]* service to
> customers who wish to have their data annotated quickly and accurately with a
> reasonable price. For example, [Kotwel |https://kotwel.com/]is one such
> company that can save you hours and costs on data annotation. At Kotwel, we
> can help you with data annotation tasks for text, image, video datasets. Get
> in touch with us below to learn more about our solutions and services.
> [Kotwel|https://kotwel.com/] is a [reliable data service|https://kotwel.com/]
> provider in Vietnam, offering high-quality [AI training
> data|https://kotwel.com/services/ai-training-data/] for machine learning and
> AI. It provides data services such as data collection, data annotation and
> data validation that help get more out of your algorithms by generating,
> labeling and validating unique and [high-quality training
> data|https://kotwel.com/services/ai-training-data/], specifically tailored to
> your needs.
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