Data Labeling Case Study — Cosmetics Brand Classification and Labeling
Lipstick Effect
There is a famous “lipstick effect” in economic theory, which refers to an interesting economic phenomenon that lipstick is sold hot due to economic depression, also known as “ small luxury items preference “. For example, in 2008, during the global financial crisis, the cosmetics industry continued to be on rising.
Despite that the Covid-19 epidemic in 2019 disturbs routine life, it cannot disturb the admiration for beauty. Due to the limitation of physical conditions, the cosmetics industry constantly uses artificial intelligence to develop its business online.
Image Recognition Case
Brand search accuracy is one of the main directions of AI technology in the field of cosmetics, which needs AI graphics and image recognition, and machine learning. Recently, we have a case that requires 10,000 + cosmetics brand classification and labeling.
ByteBridge has obvious advantages in image classification and labeling.
Quality Control
Firstly, we divide the work into two components: brand identification and brand labeling to further minimize human error.
Secondly, quality assurance is embedded into the labeling process as we introduce the consensus mechanism: we assign the same task to dozens of workers for quality check, and the correct answer comes from the majority output. In this way, the efficiency can be greatly improved.
ByteBridge takes advantage of the automatic operation and management platform to accomplish the mission in three days, which helps customers save time and cost.
Flexibility
ByteBridge, a human-powered data labeling tooling platform with real-time workflow management, providing flexible data training service for the machine learning industry.
On the dashboard, clients can set labeling rules, iterate data features, attributes and workflow, scale up or down, make changes based on what they are learning about the model’s performance in each step of test and validation.
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These labeling tools are available: Image Classification, 2D Boxing, Polygon, Cuboid.
For example, you can choose image classification service:
Or you can choose object counting service
For more services deblocking, please have a look at bytebridge.io, the clear pricing is available.
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Data Labeling Case Study — Cosmetics Brand Classification and Labeling was originally published in Becoming Human: Artificial Intelligence Magazine on Medium, where people are continuing the conversation by highlighting and responding to this story.
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