Let’s Corporate to Get High-Quality AI Data Annotation Projects !
AI Data Annotation
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.
Image
Photographs of people, objects, animals,...
Audio
They are sound records from people having dissimilar demographics
Text
Different types of documents, including words, and numbers in multiple languages
Video
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
Bounding Box
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).
Polygon
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.
2D CUBOID
A cube that surrounds an object in a 2D image, to determine the depth of the targeted object. 2D cuboids are most often used in self-driving car technology, which can help to measure the distance to obstacles and calculate the spacing.
Semantic Segmentation
A task of associating a label or category with every pixel in an image, to recognize all the pixels belonging to the same classes.
Landmark
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.
Industries
Sport
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
Manufacturing
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.
Automobile
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.
Retail
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
Construction
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:
Trackball movements
Evaluate player’s performance
Predict a match
Support training process
Contribute to versatile video game development
Defects Detection
Worker performance supervision & notifications
Robotic Navigation
Predictive maintenance
Bounding box for objects detection
Polyline for Lane detection
Polygon for irregular shapes
3D Point Cloud for LiDARs
Keypoint for shopping experience
Polygons for categorizing items
Bounding box for optimizing inventory
Semantic segmentation for customer behavior analysis
Detect PPE compliance breach
Supervise work activities at the construction site
Detect and warn of unsafe conditions
Inspect the infrastructure asset
Our case studies
![[Data Annotation] Apply segmentation techniques to annotate automotive datasets](https://www.gdsonline.tech/wp-content/uploads/2024/11/21-1-1024x652.webp)
CASE STUDY
What the client needs To gain a competitive edge in the autonomous vehicle race, the demand for high-quality data annotation services for AI models is rapidly increasing. So, it is...
![[Data Annotation] Smart Transportation Systems Project](https://www.gdsonline.tech/wp-content/uploads/2024/05/6-2.webp)
CASE STUDY
What the client needs The company will use artificial intelligence technology to make driving safer; therefore, they need a high-quality data set that provides AI with the necessary information to...
![[Data Annotation] Pizza ingredients annotation](https://www.gdsonline.tech/wp-content/uploads/2024/05/13-1024x634.webp)
CASE STUDY
What the client needs The customer was developing an AI model to identify pizza ingredients and calculate their nutritional value using image segmentation. This allows customers to compare calorie consumption...
CASE STUDY
What the client needs Our customer requests us to label a dataset of transportation and vehicles in the long-term data annotation project. They were looking for a data labeling vendor...
CASE STUDY
What the client needs Our client sought a vendor proficient in annotating runways using a semantic segmentation technique. This is a specialized autopilot project with the following key requirements: An...