Help people live healthier, happier lives
Data is at the heart of patient care. Medical teams choose FiftyOne and FiftyOne Teams to boost data quality, model performance, and patient outcomes.
“I use FiftyOne on a daily basis to improve the quality of our data and visually inspect model predictions. I much prefer the interactive experience of FiftyOne over static notebooks with matplotlib figures.“
“METU uses FiftyOne at various stages of research. We use FiftyOne’s CVAT integration to request and load annotations from doctors. We compare doctors’ annotations and the models’ predictions. Using FiftyOne’s embeddings visualization, we get a better understanding of our data distribution. We also produce synthetic images with GANs, then identify the most unique images by eliminating near duplicates.”
Companies in medicine and healthcare rely on FiftyOne and FiftyOne Teams across their AI pipeline
Computer-aided detection and diagnosis
Monitoring disease progression
Preoperative surgical planning
Intraoperative surgical guidance
Assisting the visually impaired
Slip & fall detection
Focus on what matters by avoiding repetitive or time consuming computer vision tasks that can be easily automated with FiftyOne.
Get to production faster
Shave months of development time off your computer vision project by using FiftyOne to increase the velocity in how you curate data and test your models.
Time to production, engineering productivity, annotators, and hardware to train and test can add up quickly. FiftyOne helps you automate, increase accuracy, iterate quickly, and get to production faster.
Healthcare workflows enabled by FiftyOne and FiftyOne Teams
Organize millions of samples in multiple formats
Machine learning engineers spend over half of their time wrangling data, but it doesn’t have to be that way. Use FiftyOne’s powerful dataset import and manipulation capabilities to manage millions of diagnostic images and videos.
Find and eliminate false positives
By curating better datasets and training more accurate models, FiftyOne can help drive down false positives that the model predicts incorrectly. For example, this could mean less patients being told they have a disease when they are actually healthy.
De-identification of patient data
Medical images acquired for clinical purposes are critical for use in research. However, before the images can be used, sensitive metadata elements (PII or PHI) from DICOM images need to be removed. FiftyOne can help you view and curate these datasets, verifying their compliance before training your models.
FiftyOne Teams enables you to track revisions to your datasets so you always know what data your models are trained on. View or rollback to previous versions of your datasets at any time. This history can prove critical in situations where compliance is mandatory.
Streamline your visual AI workflows
Supports all popular
computer vision tasks
> Instance segmentation
> Semantic segmentation
> Polygons and polylines
> Point clouds and annotations
> Multiview datasets
> Image, video, and 3D data