LTS QA

“We enjoy working with LQA because of the high quality of their work and their flexibility in accommodating any new task. In the past year, we had a variety of different projects, from simple bounding box annotations to complex pixel-wise segmentation, and every time the team was able to perform the task according to the specification and within the agreed time frame. We are very impressed with the amount of effort the team put into understanding of precise requirements and making sure there are no grey areas in the task before starting the work. The work processes seem very smooth and well organised, making the interactions easy and predictable. So far LQA have been one of our best experiences when working with external annotation teams.” – Daedalean

“Daedalean (www.daedalean.ai) was founded in 2016 with an aim to specify, build, test and certify a fully autonomous sensor and autopilot system that can reliably and completely replace the human pilot. Currently the company is working with EASA on an Innovation Partnership Contract to develop concepts of design assurance for neural networks.”

If you have any difficulties in data collecting or data annotation for your projects, feel free to reach out to us!

Lotus Quality Assurance (LQA)

Tel: (+84) 24-6660-7474
Email: [email protected]
Website: https://www.lotus-qa.com/

Data Annotation is the process of labelling the training data sets, which can be images, videos or audios. Needless to say, AI Annotation is of paramount importance to Machine Learning (ML), as ML algorithms need (quality) annotated data to process. 

In our AI training projects, we use different types of annotation. Choosing what type(s) to use mainly depends on what kind of data and annotation tools you are working on.

Bounding Box: As you can guess, the target object will be framed by a rectangular box. The data labelled by using bounding boxes are used in various industries, and most used in automotive vehicle, security and e-Commerce industries. 

Polygon: When it comes to irregular shapes like human bodies, logos or street signs, to have more precise outcome, Polygons should be your choice. The boundaries drawn around the objects can give an exact idea about the shape and size, which can help the machine make better predictions.

Polyline: Polylines usually serve as a solution to reduce the weakness of bounding boxes, which usually contain unnecessary space. It is mainly used to annotate lanes on road images.

3D Cuboids: The 3D Cuboids are utilized to measure the volume of objects which can be vehicles, buildings or furniture. 

Segmentation: Segmentation is similar to polygons but more complicated. While polygons just choose some objects of interest, with segmentation, layers of alike objects are labeled until every pixel of the picture is done, which leads to better results of detection.

Landmark: Landmark annotation comes in handy for facial and emotional recognition, human pose estimation and body detection. The applications using data labeled by landmark can indicate the density of the target object within a specific scene. 

If you have any difficulties in data collecting or data annotation for your projects, feel free to reach out to us!

On 19th November, LQA was honored to join “Kanagawa business seminar” – the significant networking event with the participation of Kanagawa government officials, Kanagawa and Vietnamese businesses.

Here, LQA CEO Xuan Phung had a conversation with Mr. Yuji Kuroiwa (黒岩 祐治), the Governor of Kanagawa Prefecture, to share with him about LQA’s plan to set up a Japanese subsidiary in Kanagawa. Kanagawa is an ideal place for the establishment, as it offers a range of advantages. In geographical terms, Kanagawa’s capital city – Yokohama, which lies on Tokyo Bay, in the Kantō region of the main island of Honshu, is a major commercial hub of the Greater Tokyo Area. The prefecture’s government also gives special preference to foreign businesses. 

Mr. Yuji Kuroiwa was delighted with this plan of LQA, and he believed that this would be a great step forward for the company. The government will be willing to help LQA so that the company can develop, achieve much success in Japan. 

(Hanoi) On July 13th this year FROM Okinawa Officials visited Lotus Quality Assurance’s office for preparation of LQA’s participation in a training program located in Okinawa.

Backed by Okinawa Prefecture, the training program was created by a nonprofit organization named “FROM Okinawa”, as an act to bolster development of IT in Okinawa and also to promote collaboration of Japanese IT companies with South East Asia. Thanks to the recommendation and guidance by a senior in the Japanese QA industry, Lotus QA was able to successfully go through the application process and was selected by the Okinawa board to join the program.

The official visiting Lotus QA this time were Mr. Itarashiki and Mr. Kadena who introduced the training program in detail in order for Lotus QA to be prepared in advance. Some of the information talked about was the visa application process and how Japanese typically work in the industry.

Joining this program the team expect to learn a “Made in Japan” quality mindset which has led to the success and fame of Japanese products all over the world. The team also will learn about Japanese culture and life in Okinawa. This is a very important program for Lotus QA as the company has decided to focus on excellence in communication which does not only involve language fluency but also a deep understanding of culture and business manners. This will lead to even more effective collaborations with Japanese clients in the near future.

Following the program with happens in October 2017 there will be a business trip to various Japanese companies in Okinawa by Lotus QA’s CEO, Mrs. Xuan Phung.