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Datasets and Services for Training LLM
Image Annotation
Video Annotation
Text Annotation
Lidar Annotation
Crowdsourcing
MedTech Companies
Banking and Finance Industry
Biometric Data
E-commerce and Retail
Surveys and UX-Researches
Agriculture
Retail
Robotics
Augmented Reality
Finance
E-Commerce
Face Recognition System
Ore Annotation
Content Moderation on the Video
IBeta 1
IBeta 2
Data Collection for Face and Speech Recognition
Content Moderation
Video Systems and Video Analysis
Content Moderation in Recruitment Domain
Audio Labeling for Call Center
Data collection and video annotation: weapon detection on the streets
Image Annotation for Emotion Recognition
Data Сollection for Сity Administration
Liveness Detection
Annotation Photos for the Recognition System
Blog
Stages of Work
Become a Partner
Startup Program
Student Program
FAQ
LICENSE
Chest X-Ray Image Dicom Dataset
Dataset of X-ray images with text conclusions of radiologists and markup
Medicine
The use of machine learning in the medicine
Computer Vision
Ability of a machine to interpret, analyze, and understand visual data
Segmentation
Dividing an image into semantically independent segments to determine object boundaries
Classification
Process of recognition and grouping of objects into preset categories
443
files
50
medical studies
Our Partners
CASE DESCRIPTION
The dataset contains of 150 chest organ radiographs. The data format is dicom
The dataset is annotated by the professional medics for segmentation tasks. The annotation is stored in json format
There are 13 classes: ‘Nodule/mass’, ‘Dissemination’, ‘Annular shadows’, ‘Petrifications’, ‘Pleural effusion’, ‘Pneumothorax’, ‘Rib fractures’, ‘Healed rib fracture’, ‘Atelectasis’, ‘Enlarged mediastinum’, ‘Hilar enlargement’, ‘Infiltration/Consolidation’, ‘Fibrosis’
APPLICATION AREAS OF THE DATASET
Medical diagnostics:
Computer vision and classification for automatic detection and classification of various lung pathologies and other disorders of the thoracic cavity, including tumors, infections, destruction, pleural effusion, pneumothorax, and rib injuries
Automating the interpretation of chest X-rays:
Computer vision for automatic analysis and interpretation of chest X-ray images
Training Medical Personnel:
Segmentation for the education and training of medical university students, interns, and residents
Disease monitoring and control:
Computer Vision for monitoring and controlling lung pathologies and other chest conditions
How it works?
Once you submit a request, we will contact you to discuss the details and sign the necessary documents. When the documents are signed, you will have the data within 7-10 days.
How is the data collected?
We obtain data from both crowdsourcing platforms and our in-house team. The data is further validated by our in-house team.
Is it possible to get a part of the data?
Upon your request, we can provide part data for any datasets. If you have an interest in specific demographic characteristics, we offer parts from several datasets according to your needs.
What is the price of the dataset?
The price is determined by your requirements. Please submit a request to get a free consultation
DIDN'T FIND THE NECESSARY INFORMATION?
Leave a request for a free consultation and a test dataset!
Why
Training Data
- Quality Assurance:
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Enhanced Data Accuracy
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Consistency in Labels
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Reliable Ground Truth
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Mitigation of Annotation Biases
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Cost and Time Efficiency
- Data Security and Confidentiality:
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GDPR Compliance
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Non-disclosure agreement
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Data Encryption
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Multiple data storage options
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Access Controls and Authentication
- Expert Team:
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6 years in industry
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35 top project managers
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40+ languages
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100+ countries
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250k+ assessors
- Flexible and Scalable Solutions:
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24/7 availability of customer service
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100% post payment
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$550 minimum check
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Variable Workload
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Customized Solutions
