Powering Breakthrough Vision AI with MLOps.
San Francisco
Joined January 2020
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🚀 New on Datature: t-SNE Embedding Visualization
Turn thousands of image embeddings into an interactive 2D map - spot duplicates, detect anomalies, visualize clusters, and speed up curation.
Now Live → Find it under “Projector” in your Asset Tab
At @DatatureAI, we are unifying multi-planar reconstruction annotation, volumetric deep learning, and seamless deployment into a single, integrated intelligence layer.
⚡ Advanced Annotation – AI-driven, scalable labeling for CT, MRI, PET, with strict consensus/review enforcement.
⚡ Volumetric Model Training – Expanded #3DUNET architectures, fine-tuned with 3D augmentation for unparalleled precision.
⚡ Seamless Deployment – Native #3DSlicer integration & PACS support to operationalize insights at scale.
This is just the beginning.
Exciting news! @DatatureAI is headed to #MDMWest in Anaheim, Feb 4-6 at the Anaheim Convention Center, Booth #5529.
Discover cutting-edge machine learning and computer vision for medical, manufacturing & materials solutions with live demos!
ALT Datature at MD&M West
Learn how to train an object detection model with YOLOv8 on Datature’s Nexus platform.
In this tutorial, Leonard walks you through: - Training a model to identify and locate objects within images. - Optimizing workflows for speed and accuracy. Applications include warehouse management, autonomous vehicles, and retail analytics. Watch now and see how Nexus simplifies complex tasks #ObjectDetection #AI #ComputerVision #Datature #DatatureTutorials #YOLOv8
Learn how to train a video classification model using MoviNet on Datature’s Nexus platform.
youtu.be/QXIavCwMzoY
In this tutorial, Leonard guides you through:
Training a model to analyze and classify actions or events in video sequences.
Enhancing workflows for real-time video processing and accuracy.
Applications include sports analytics, surveillance systems, and content moderation. Watch now and explore how Nexus simplifies advanced video analysis.
#VideoClassification #AI #ComputerVision #Datature #DatatureTutorials #MoviNet
Learn how to train a keypoint estimation model using YOLOv8 on Datature’s Nexus platform.
youtu.be/u1_AfU15eHs
In our latest tutorial, Leonard walks you through:
- Training a model to detect key points of interest in an image.
- Optimizing workflows for precision and speed.
Applications include human pose estimation, gesture recognition, and sports performance analysis. Watch now and see how Nexus simplifies complex tasks!
#KeypointEstimation #AI #ComputerVision #Datature #DatatureTutorials #YOLOv8
SAM-2 revolutionized video object segmentation with its memory-based architecture for sequential frames.
However, challenges like occlusions and error propagation remain. Derivative models like SAMURAI and SAM2Long tackle these issues with advanced memory and motion-aware features, enhancing accuracy and long-term tracking.
Discover how they overcome SAM-2's limits:
datature.io/blog/beyond-sam-…
Learn how to build a semantic segmentation model using DeepLab V3 on Datature’s Nexus platform buff.ly/3Dlrg8G
In the first tutorial of our series, Leonard walks you through:
- Training a model for pixel-perfect object segmentation.
- Streamlining workflows for faster, accurate results.
Use cases include defect detection in manufacturing, autonomous driving, and medical imaging. Watch now and see how Nexus simplifies complex tasks here:
#SemanticSegmentation #AI #ComputerVision #Datature #DatatureTutorials #DeepLab
Dive into our latest tutorial where we walk you through the fundamentals of training a cutting-edge #keypoint estimation model 🧠
From identifying key points in images to analyzing skeletal structures in videos, this concise 8-minute guide will equip you with the knowledge to create your next #computervision or skeleton detection model.
