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Computer vision for all

A hybrid platform for managing, preprocessing, and augmenting datasets for computer vision projects. It streamlines the creation, organization, and deployment of high-quality training data for machine learning models.

Use foundation models in your pipeline and fine-tune them with your data

Use models from OpenAI, Meta AI, and thousands of top open source repositories.

Share tools quickly and confidently in minutes

Exploring the Applications and Benefits of Computer Vision

Discover how computer vision powers innovations in healthcare, security, retail, and autonomous systems, offering efficiency, accuracy, and automation for a smarter and connected future.

Connect every part of your entire business

Understanding Different Models in Computer Vision and Their Advantages

Explore various computer vision models like CNNs, R-CNNs, and GANs, highlighting their unique strengths in tasks like image recognition, object detection, and realistic image generation.

Maintain compliance and control your apps

Training Computer Vision Models: Techniques and Benefits

Learn how training techniques like supervised learning, data augmentation, and transfer learning improve computer vision models, ensuring better accuracy, robustness, and adaptability for real-world applications.

Review quickly and confidently

A Hub for Sharing Computer Vision Knowledge and Insights

Join a vibrant community to share innovations, discuss models, training techniques, and applications in computer vision, fostering collaboration and driving advancements in the field.

Boost your efficiency with integrations

With open APIs, SDKs, integrated developer tools, and rich documentation, you can customize, automate, and extend your pipeline to other applications.

Protobuf
Format
Protobuf

Protobuf (Protocol Buffers) is a compact, efficient data serialization format ideal for machine learning model and data storage.

Intel
Accelerator
Intel

Intel provides a range of AI accelerators and hardware solutions optimized for machine learning and edge computing.

Labelbox
Labeling
Labelbox

Labelbox is a data-labeling platform that simplifies the process of annotating datasets for training machine learning models.

AMD
Accelerator
AMD

AMD delivers high-performance CPUs and GPUs that accelerate machine learning workloads and data processing.

AWS
Cloud provider
AWS

AWS (Amazon Web Services) offers cloud computing services, including machine learning tools and scalable infrastructure for AI development.

YOLO
Model
YOLO

YOLO (You Only Look Once) is a real-time object detection system that simplifies computer vision tasks by enabling fast and accurate image processing.

Explore the integrations

Agriculture Agriculture
Security Security
Energy Energy
Aerospace Aerospace
Automotive Automotive
Telco Telco
Retail Retail
Industry Industry
Surveillance Surveillance
Agriculture Agriculture
Aerospace Aerospace
Automotive Automotive
Security Security
Surveillance Surveillance
Energy Energy
Industry Industry
Telco Telco
Retail Retail
Telco Telco
Energy Energy
Surveillance Surveillance
Industry Industry
Retail Retail
Agriculture Agriculture
Aerospace Aerospace
Security Security
Automotive Automotive
Explore the use cases