Audio Transcription
Datasets and Services for Training LLM
Image AnnotationFace Recognition System
Development of a facial recognition system for identifying people at metro stations
Industry and use case:
Video systems and video analysis
Data:
10'000 frames from a video stream and 500'000 detections
Project duration:
14 days
Challenge:
Our partners have developed a cutting-edge product that utilizes facial recognition technology to identify individuals in a stream of people at subway stations. The product has enormous potential to enhance security in public places and streamline the identification process in high-traffic areas.
To train their machine learning model, our partners required a vast dataset of people’s faces captured in real-life subway environments. This dataset is essential for ensuring the accuracy and reliability of the technology
The Problem:
The initial data, consisting of videos from surveillance cameras, had poor quality and a large number of detected objects (up to 1000 boxes per frame)
The Solution:
To complete the project, we formed two teams that worked in stages:
The first team consisted of 20 people and was responsible for breaking down the video into frames.
The second team consisted of 60 assessors and 10 validators who processed the frames and labeling
The second team consisted of 60 assessors and 10 validators who processed the frames and labeling
The Results:
After forming a team of 90 people, our partner successfully launched a facial recognition technology with an impressive accuracy of 95.7%. The successful launch of this facial recognition technology not only represented a significant accomplishment for our partner but also served as an important contribution to the world of technology, particularly in enhancing security measures in public places
My ML team worked closely with Vlad, the project manager. Thanks to the data-centric approach, we were able to quickly edit the instructions and obtain a high-quality dataset on time
Andrew B
The product owner of Face Recognition Tech
MORE Cases
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