Interesting Data Annotation Use Cases in Retail and E-commerce
Category: AI insights
Published date: 25.03.2021
Read time: 4 min
When we think about industries that require data annotation, retail and e-commerce are usually not the first ones that come to mind. However, as we will see later on, there are various technologies both online as well as brick and mortar stores are relying on to make the shopping experience more enjoyable. These include things like trying on clothing and cosmetics in AR as well as AI powered chatbots, all of which require various data annotation work to be done. Let’s explore some use cases Mindy Support has worked on to improve the accuracy and possibilities of such products.
Landmark Annotation and Semantic Segmentation for a Cosmetics Company
A cosmetics company was looking to leverage online sales and the latest e-commerce trends by allowing customers to try on their makeup using AR. They hired us to annotate the training datasets.
It was very important that all of the work was done on time since everything needed to be synchronized with the development work. Mindy Support annotated 100,000 images with landmark annotation and semantic segmentation so the system could recognize a person’s facial features and properly apply the makeup.
Semantic Segmentation for a Clothing Store
A midsize online retailer was looking to boost their sales with AR try-on of their clothing. They needed to annotate images with semantic segmentation for the system to better model the bounds of the clothing item and human skin, thereby producing a better fit.
We assembled a team of 45 data annotators who annotated 200,000 images in one month allowing the client to keep the project on schedule. It was very important that all of the boundaries were properly annotated so we needed to implement an automated QA process. This allowed us to maintain a quality score of 98%.
Data Collection for an eCommerce Clothing Store
We worked with a clothing retailer who needed to take photos of feet with and without socks and of hands with and without gloves.
There were strict and tight deadlines for a big scope of work and good quality of photos. We pre-selected the participants, whose phone cameras met the criteria.
We collected 15 000 photos for our Client.
Data Collection: Unique dialog scenarios generation
Our task was generation of unique dialog scenarios between customer support representative and potential client of such fields as e-Commerce and Insurance. This generated (collected) data is being further annotated for accurate integration of conversational AI processes.
Mindy Support Provides Comprehensive Data Annotation Services
While the above use cases were retail, e-Commerce and insurance industries, Mindy Support has extensive experience actualizing cases in verticals such as automotive, healthcare, agriculture and many others as well. We have more than 2,000 employees in six locations all over Ukraine which allows us to source and recruit the needed number of candidates within a short time frame. We can also scale your team quickly without sacrificing the quality of the data annotation work being done. Contact us today to learn more about how we can help you.