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  • NVIDIA
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Tailored Data Services for Intelligent Healthcare

With features including lesion semantic segmentation, keypoint annotation, bone age annotation, and MPR, our platform supports dataset administration and annotation of medical images in 2D visible image format and DICOM format.

Medical Object Classification

Medical Object Classification

Support medical image and text annotation and classification of disease levels.

Medical Object Detection

Medical Object Detection

Support data labeling of disease levels, lesion areas, lesion names, etc.

Medical Image Segmentation

Medical Image Segmentation

Support data labeling of pixel-level segmentation of lesion areas.

Medical Text Annotation

Medical Text Annotation

Support text entity annotation of disease names, drug names, medical histories, and other information.

Medical OCR Annotation

Medical OCR Annotation

Support data annotation and transcription of medical records, examination reports, medical bills, etc.

Compliance & Security

Nexdata place the utmost emphasis on data security and client trust. We follows Personal Information Protection Act, GDPR, CCPA, PIPC and HIPAA regulations. we have also achieved ISO 27001,ISO 27701 and ISO 9001 qualifications for security and regulatory compliance. Nexdata delivers unparalleled data security, earning the trust of our clients through our adherence to these globally recognized standards.

GDPR
GDPR
CCPA
CCPA
SOC2
SOC2
ISO27701
ISO27701
ISO27001
ISO27001
ISO9001
ISO9001

Deploy reliable AI faster with Nexdata

Nexdata helps you to gain unparalleled control of your annotation workflow through pipeline. Speed up your AI projects 5x today.

Collect Data Label Data Train Your Modle Manage Data Deploy AI

Send exploratory or potentially harmful cases back to be labeled

Case Studies

Cerebral Hemorrhage Image Annotation
  • USE CASE:Cerebral Hemorrhage Image Annotation.
  • CHALLENGE:Client needs to improve the recognition technology for brain CT scan results.The annotator needs to have medical background and can determine the bleeding point in the image. The requirement for labeling accuracy is not exceed 3-5 pixels, and the image needs to be labeled layer by layer (sheet) to guarantee no data is missing labeled.
  • SOLUTION:Nexdata completed data annotation of 10,000 sets and has been accepted by the client.
OCR for Medical Invoice
  • USE CASE:OCR for Medical Invoice.
  • CHALLENGE:Client want to realize intelligent identification and extraction of medical billing information, and each type of bill requires an average of about 40 tags.
  • SOLUTION:Nexdata platform allows project managers to configure the labels, and annotators can only select the labels, so that mislabeling is avoided.
Nexdata Data Annotation Free Trial

Supports comprehensive annotation needs for speech, image, video, point cloud, and text data.

Recommended Dataset

5,147 Images Japanese Handwriting OCR data

5,147 Images Japanese Handwriting OCR Data. The text carrier are A4 paper, lined paper, quadrille paper, etc. The device is cellphone, the collection angle is eye-level angle. The dataset content includes Japanese composition, poetry, prose, news, stories, etc. For annotation, line-level quadrilateral bounding box annotation and transcription for the texts were annotated in the data.The dataset can be used for tasks such as Japanese handwriting OCR.

Japanese Handwriting OCR line-level annotation line-level text transcription

5,711 Images Korean Handwriting OCR data

5,711 Images Korean Handwriting OCR Data. The text carrier are A4 paper, lined paper, quadrille paper, etc. The device is cellphone, the collection angle is eye-level angle. The dataset content includes Korean composition, poetry, prose, news, stories, etc. For annotation, line-level quadrilateral bounding box annotation and transcription for the texts were annotated in the data.The dataset can be used for tasks such as Korean handwriting OCR.

Korean Handwriting OCR line-level annotation line-level text transcription

1,000 People - Spanish Handwriting OCR Data

1,000 People - Spanish Handwriting OCR Data. The writers are Europeans who often write spanish. The device is scanner, the collection angle is eye-level angle. The dataset content includes address, company name, personal name.The dataset can be used for tasks such as spanish handwriting OCR.

Spanishn Handwriting OCR Europeans scanner eye-level angle

14,511 Images English Handwriting OCR Data

14,511 Images English Handwriting OCR Data. The text carrier are A4 paper, lined paper, English paper, etc. The device is cellphone, the collection angle is eye-level angle. The dataset content includes English composition, poetry, prose, news, stories, etc. For annotation, line-level quadrilateral bounding box annotation and transcription for the texts were annotated in the data.The dataset can be used for tasks such as English handwriting OCR.

English handwriting ocr

1,000 People - German Handwriting OCR Data

1,000 People - German Handwriting OCR Data. The writers are Europeans who often write German. The device is scanner, the collection angle is eye-level angle. The dataset content includes address, company name, personal name.The dataset can be used for tasks such as German handwriting OCR.

German Handwriting OCR Europeans scanner eye-level angle

262 People - 5,162 Images Handwriting OCR Data of Traditional Chinese Characters (Taiwan, China)

262 People - 5,162 Images Handwriting OCR Data of Traditional Chinese Characters (Taiwan, China). Texts in the data were annotated for the line-level quadrilateral bounding box. The handwriting ocr data can be used for traditional Chinese characters recognition application.The accuracy of line-level annotation and transcription is >= 97%.

Handwriting OCR eye-level angle line-level quadrilateral bounding box annotation and transcription for the texts traditional Chinese characters (Taiwan China) chinese ocr handwriting ocr ocr chinese OCR Training dataset Optical character recognition TextOCR Dataset Reading everyday scenes standard Chinese character Handprint Applicationrn

6,333 Chest radiographies Data

6,333 Chest radiographies Data. 4,690 chest radiographies were chest radiographies of healthy people, the other 1,643 chest radiographies were chest radiographies of patients with pneumonia. The images were collected by Philips Medical Systems. The dataset can be used for tasks such as medical image analysis.

Chest X-ray data chest X-ray data X-ray data medical imaging Chest radiographies data

6,087 Images Physical Examination Report OCR Data

6,087 Images Physical Examination Report OCR Data. This dataset includes multiple types of physical examination report. For annotation, line-level rectangular bounding box annotation and transcription for the texts were annotated in the data. The dataset can be used for tasks such as physical examination report detection and recognition.

Physical examination report OCR data OCR data set OCR annotation OCR collection OCR data processing OCR transcription data

Why Nexdata

One-stop Data Service

One-stop Data Service

Nexdata.ai provides comprehensive data
annotation and collection services to help
you succeed with your AI projects.

Data QA System

Data QA System

Nexdata delivers high-quality data with
intelligent self-inspection, multiple quality
checks, and ISO9001 certification.

Rich Annotation Tools

Rich Annotation Tools

30 proven annotation tools for full coverage of
voice, image video, 3D point cloud and text
data annotation requirements.

Compliance & Security

Compliance & Security

We follows Personal Information Protection
Act, GDPR, ISO27001/ISO27701 for security
and regulatory compliance.

AI-assisted Pre-recognition

AI-assisted Pre-recognition

With the help of AI-assisted pre-recognition
function, human-computer interaction
semi-automatic annotation is realized.

Know More About Tailored Data Solutions

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