AI requires accurate annotated data to learn patterns and make predictions. We work closely with our clients to process millions of data every year, improve their AI accuracy by up to 98%, and redefine AI standards.
(Photographs of people, objects, animals,...)
(They are sound records from people having dissimilar demographics)
(Different types of documents, including words, and numbers in multiple languages)
(Recorded tape from CCTV or camera, usually divided into scenes)
3D sensor data
(This data obtaining length, width, and depth information electronically to improve the interfaces between humans, devices, and the world)
A rectangle that surrounds an object. It specifies the object’s position, class (ex: car, person), and confidence (how likely it is to be at that location).
a two-dimensional closed shape bounded with straight sides (not curved sides). Polygon is highly flexible and adaptable to a variety of shapes, which is normally applied to detect defects on cars, buildings, or products in shopper’s basket.
Polyline & Spline
small lines, connected at vertices, which are used to define linear structures in images and videos like roads, lanes, rail tracks, and pipelines.
LiDAR Point Cloud
a remote sensing technology that uses light in the form of laser pulses to measure distances between the sensor and target objects. The targeted objects in point cloud images can be annotated by bounding box, 3D cuboid, or others, depending on project requirements.
a cube that surrounds an object in a 2D image, to determine the depth of the targeted object. 3D cuboids are most often used in self-driving car technology, which can help to measure the distance to obstacles and calculate the spacing.
a task of associating a label or category with every pixel in an image, to recognize all the pixels belonging to the same classes.
a task of localizing key point positions on the face, or body, which is often used to detect human emotion, concentration, or sport motion analysis.
Promoting the AI applications in Sports
In this epoch of advanced technology, sport is a typical industry in which leveraging the power of AI is no longer a fairy tale. Many use cases of sport AI are widely endorsed by both sports players and referees, such as
Empowering the AI applications in Manufacturing
Manufacturing Industry is making a breakthrough with the evolution of AI and Machine Learning, which is widely applied among thousands of factories around the world to optimize their supply chain and accelerate research and development.
Upgrade the world of Automobile with Advanced driver assistance system
The automobile market is forecasted to be extremely potential in the near future. To advanced driver assistance system work well, we must have a huge data annotated for AI. LTS GDS is proud to provide high-quality data annotation services to ensure accurate data output for AI.
Creating the new revolution for Retail
The technological revolution and the Covid 19 epidemic have changed the shopping habits of consumers and posed challenges for retailers. With accurate and real-time labeled data, the retail industry will be empowered in the race with explosive
Enhancing the safety in Construction with Data Annotation
Construction industry has an enormous system of equipment, materials, and labor, so management and supervision processes are not simple tasks. Therefore, the data annotation process with object identification and recognition capability will assist AI adopters in the construction field to: