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As labor shortages intensify, the burden of stocking becomes a serious issue. Around the world, the adoption of robots to assist in retail environments has dramatically improved the efficiency and cost of high shelf replenishment stocking, a shift that has allowed people to better focus their time and energy on other tasks, such as helping customers with service and managing orders, a problem that has greatly improved.
However, such new ways of working need to be deployed in large numbers in more and more settings in order to get people used to them. Datatang's AI training data is highly accurate and can help AI models perform rigorous testing tasks to ensure faster and more efficient execution, which will greatly help businesses thrive.
So, what benefits can robots provide under the retail industry?
Robots can work 24 hours a day without pay, without breaks or holidays, greatly reducing human capital and saving businesses more money.
Robots can perform many tasks that humans cannot perform, helping to relieve manual effort and better serve customers.
Robots can repeat boring tasks, providing humans with more time to provide quality customer service.
Rectangular bounding boxes were adopted to annotate forms. The data can be used for tasks such as forms detection.
In this dataset, 19,968 images of male and 124,842 images of female were included. The Fashion Items were divided into 4 parts based on the season (spring, autumn, summer and winter). In terms of annotation, rectangular bounding boxes were adopted to annotate fashion items. The data can be used for tasks such as fashion items detection, fashion recommendation and other tasks.
Today, industries need more and more documents, and many organizations or transactions rely on paper documents such as invoices, contracts, legal regulations, and financial statements. Converting paper documents into electronic documents has greatly improved the organization problem. Accurate extraction and intelligent use of these electronic documents will play a big role. Artificial intelligence and machine learning play a major role and value in this area, and the application of OCR recognition and NLP for text processing has greatly improved the accuracy of automated document processing.
Company Description： Through computer vision and machine learning technology, the company enables brands and platforms to optimize their content and drive business results by observing attendees' attention and emotions as they view videos online. In order to accurately interpret people's reactions to ad videos, the company develops and optimizes its machine learning algorithms, enabling clients to engage viewers with emotion, thereby adapting and optimizing higher quality ad videos.