Audio Transcription
Datasets and Services for Training LLM
Image AnnotationLIDAR ANNOTATION
Training Data provides a full cycle of work on marking lidar clouds to create high-quality training datasets
Lidar
(Light Detection and Ranging)
It uses a laser beam to measure distances to surrounding objects and create a point cloud representing a 3D map of the scene. Labeling LiDAR point clouds involves identifying and classifying objects using data obtained from the LiDAR sensor.
Services
Point Cloud
A point cloud is a set of three-dimensional coordinate points that describe the geometry and location of objects in a scene
3D Object Recognition
Processing of point clouds, three-dimensional models and voxel grids obtained from lidars, stereo cameras or structured light scanners
Terrain modeling
Analysis and processing of data such as altitude maps, laser scans, aerial images to describe the shape and characteristics of the earth's surface and objects
Path Planning and Navigation
Determining the best way to reach the destination, including analysis and consideration of factors: obstacles, road conditions, travel time and user preferences
Change Detection
Detection and classification of changes: deforestation, expansion of buildings, soil erosion, changes in water bodies and other important changes for environmental assessment and management
Virtual Reality and Simulation
Tasks such as gesture recognition, object classification in virtual space, behavioral modeling to develop adaptive responses to user actions
Object Detection
Identification and classification of objects of various types, such as cars, pedestrians, cyclists, buildings, road markings, signs, trees, etc.
Semantic Segmentation
Dividing lidar clouds into small components and determining which classes these components belong to for a deeper understanding of AI systems of the environment
Stages of work
-
Application
/01Leave a request on the website for a free consultation with an expert. Th e acco unt manager will guide you on the services, timelines, and price -
Free pilot
/02We will conduct a test pilot project for you and provide a golden set, based on which we will determine the final technical requirements and approve project metrics -
Agreement
/03We prepare a contract and all necessary documentation upon the request of your accountants and lawyers -
Workflow customization
/04We form a pool of suitable tools and assign an experienced manager who will be in touch with you regarding all project details -
Quality control
/05Data uploads for verification are done iteratively, allowing your team to review and approve collected/annotated data -
Post-payment
/06You pay for the work after receiving the data in agreed quality and quantity
Timeline
- 24 hoursApplication
- 24 hoursConsultation
- 1 to 3 daysPilot
- 1 to 5 daysConducting a pilot
- 1 day to several yearsCarrying out work on the project
- 1 to 5 daysQuality control
You pay for the work after you have received the data
in the established quality and quantity
in the established quality and quantity
Why
Training Data
- Quality Assurance:
- Enhanced Data Accuracy
- Consistency in Labels
- Reliable Ground Truth
- Mitigation of Annotation Biases
- Cost and Time Efficiency
- Data Security and Confidentiality:
- GDPR Compliance
- Non-disclosure agreement
- Data Encryption
- Multiple data storage options
- Access Controls and Authentication
- Expert Team:
- 6 years in industry
- 35 top project managers
- 40+ languages
- 100+ countries
- 250k+ assessors
- Flexible and Scalable Solutions:
- 24/7 availability of customer service
- 100% post payment
- $550 minimum check
- Variable Workload
- Customized Solutions