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Fashion

High-quality data labeling for the fashion industry - from virtual fitting rooms to purchase intent, size estimation, and much more!
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Expert Labeling
of Fashion Data

Fashion Data Annotation services for a wide range of computer vision applications.
Fashion Data Annotation
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projects
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AI-powered virtual fitting rooms and smart visual search applications are transforming the fashion industry and changing how customers shop online. These emerging technologies are empowering consumers by showing them the fashion items they want, as well as how they match their desired look.

Keymakr creates training datasets and annotations for fashion AI in collaboration with innovators in the industry. We can meet the demands of any computer vision project by leveraging our expertise, and proprietary annotation tools.

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Fashion
Annotation Types

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01. Automatic Annotation

Accurately label any number of items of clothing in different situations for use in your virtual fitting rooms and model training.

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Automatic Annotation

02. Bounding Box

Label objects such as shoes, clothing, hats, and so by dragging boxes across them for AI to recognize - simple and efficient.

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Bounding Box

03. Oriented Bounding Box

Variant on bounding boxes that takes specific orientation and angle into account - useful to determine the facing of your items.

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Oriented Bounding Box

04. Polygon

Label irregular shapes such as pieces of jewelry, sunglasses, watches, and other objects relevant for your virtual fitting room.

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Polygon

05. Semantic Segmentation

Classifies all objects in a scene and assigns them a type so that your AI can determine between different items and the background with ease.

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Semantic Segmentation

06. Skeletal

Usually helps mark humans in your virtual fitting rooms - helps computer vision understand movement, posture, size, and so on.

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Skeletal

07. Key Points

Granular labeling for very fine details like facial structure and muscles, eyes, etc. Used for training AI to understand emotions and mark important objects.

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Key Points

08. Custom

Combine different forms of data labeling to create a perfect AI to tackle any fashion tasks you need it to understand.

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Custom

Professional Data Annotation
for Fashion

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Get accurately labeled data for your virtual fitting rooms from experienced annotation teams!

01. The Data Behind Virtual Fitting Rooms

Virtual Fitting Rooms

Get precise image annotation for your virtual fitting rooms. Accurate labeling of thousands of individual clothing items requires the support of managed teams of experienced annotators. By utilizing labeling techniques like polygon annotation, Keymakr can ensure that your dataset captures the complex picture of today’s fashion choices.

Furthermore, annotating thousands of frames in any individual piece of video training footage is a time-consuming and labor-intensive process. We can streamline it with our proprietary annotation technology. Remove the burden of video annotation from your team to focus on what matters most - providing an excellent experience to your shoppers!

02. Better Machine Learning for Fashion

Machine Learning for Fashion

Consumers are increasingly eager to see how the clothing and shoes they are browsing online will fit their body and style.

Computer vision-based AI models can make this a reality with the support of quality annotation. With accurate training data virtual fitting experiences can now conform to the specific needs of each customer, perfectly matching every item to them.

03. AI-Powered Online Shopping

AI-Powered Online Shopping

Smart image and video annotation can help companies refine virtual jewelry modeling applications, custom accessories, designer glasses, and much more.

Keymakr’s professional annotators deploy semantic segmentation techniques to capture any fine detail in image datasets. This ensures that your final computer vision models perform well for consumers.

Our annotators create datasets that reflect a diverse range of fashion items. Annotation techniques, such as instance segmentation, allow training images to help your systems understand all sorts of minor details going beyond just the make and model of clothing.

04. How We Support Your Fashion Projects

Fashion Projects

We provide virtual fitting rooms and smart visual search projects with quality datasets that streamline development:

  • Quality and Precision. Guaranteed clean, actionable annotations. Our three levels of human quality verification are also backed up by automated quality-checking algorithms, which help ensure your data is error-free.
  • Professional Team. Our teams of annotators work in-house, managed by experienced supervisors. This means no delays or sourcing troubles - your datasets will arrive on time for you to delight your customers.
  • Custom Datasets. We’re able to create custom datasets that meet specific needs. Our flexible data creation processes and proprietary annotation tools help us fulfill the boutique needs of any clients in fashion and beyond.

Reviews
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high perfomer winter 2024
high perfomer spring 2024
high perfomer emea 2024
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"Delivering Quality and Excellence"

The upside of working with Keymakr is their strategy to annotations. You are given a sample of work to correct before they begin on the big batches. This saves all parties time and...

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"Great service, fair price"

bility to accommodate different and not consistent workflows.
Ability to scale up as well as scale down.
All the data was in the custom format that...

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"Awesome Labeling for ML"

I have worked with Keymakr for about 2 years on several segmentation tasks.
They always provide excellent edge alignment, consistency, and speed...

Meet
Keymakr

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We bring deep hands-on experience with validating, labeling, and creating data to your project so you can focus on what you
do best - developing amazing solutions.

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Keymakr started with a core team of 10 employees in 2015 and grew to employ over 1000 in-house team members in just two years. We are not only helping to create the best AI possible, we are
creating jobs for people that are as passionate as we are about technology.

To achieve this, we created a proprietary data annotation platform that enables us and our partners to provide high-quality clean data to anyone in need of it.

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