Audio Transcription
Datasets and Services for Training LLM
Image Annotation USE CASE
Cars Image Segmentation
Detailed labeling of cars into their component parts. You can use the dataset for computer vision tasks
Computer Vision The ability to recognize and analyze images and video
Data Labeling Highlighting objects in photos to train systems to recognize and interpret them
Segmentation Dividing an image into semantically independent segments to determine object boundaries
Auto The use of machine learning in the automotive industry
2500
photos
4
weeks
Our Partners
CASE DESCRIPTION
Collection of car photos through parsing and crowdsourcing
Collection parameters are customized to suit your task
Annotation according to classes of interest
Each class is precisely outlined by a polygon of a specific color
APPLICATION AREAS OF THE DATASET
Automotive Industry:
Classification and computer vision for quality control during car manufacturing
Autonomous Driving:
Segmentation for training deep learning models and improving the accuracy of their systems
Insurance Claim Assessment:
Detection and classification for insurance claim assessment, quick determination of damages, and calculation of repair costs
Safety System Development:
Detection and computer vision for identifying and alerting drivers about the absence of certain safety elements
DIDN'T FIND THE NECESSARY INFORMATION?
Leave a request for a free consultation and a test dataset!
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
Team leads project
Alexey Antushenya
Operations manager
Sergey Razumny
TeamLead Crowd Solutions
Maria Kuzmina
Project manager