Cortal Insight

?? Does Your ML Team Struggle with Video Data Processing? ?? In fields like retail analytics, security, and robotics, video data holds incredible value. But the journey from raw footage to structured data is no easy task. It’s often complex, time-consuming, and filled with bottlenecks. ?? Enter Cortal V2I. Our latest tool is built to handle these challenges head-on by automating frame extraction, audio separation, and even large-scale data scraping. Here’s how Cortal V2I transforms video data processing for computer vision: ?? Automated Frame Extraction: No more manual frame extraction—get frames at precise intervals, ready for direct model training. ?? Effortless Data Collection: Seamless scraping from platforms like YouTube, streamlining your data pipeline. ?? Multi-Modal Data Support: Built-in audio extraction and metadata handling create richer datasets for powerful multi-dimensional models. ?? Scalability on Demand: Process hundreds of videos efficiently with Cortal V2I’s infrastructure, making large datasets manageable without extra resources. ?? Get started with Cortal V2I when you’re ready to speed up your ML workflows and eliminate manual bottlenecks. Dive into the full article to see how Cortal V2I can help your team overcome the most common video data processing challenges and get started fast! https://bit.ly/3YC9tAN

Struggling to Keep Up with Manual Visual Data Processing? If you’re in the machine learning space, you know the grind: ? Endless data preparation. ? Hours of manual video processing. ? Repeating tasks that keep your team from innovating. But you could eliminate these bottlenecks... ?? Our latest article, "Unlocking Faster Model Iteration with Visual Data Automation," dives into how automated computer vision systems can transform your workflow and take your ML projects to the next level. Ready to future-proof your machine learning workflow? ?? Check out the full article below to learn how!

Check out our latest blog on fine-tuning GPT-4o for image classification! #AI #GPT4o #MachineLearning" #CortalInsight

Super excited that Cortal Insight is a Tech Fuel 2024 Semi-Finalist! ?? Ready to bring our best and keep pushing the limits in data and computer vision! ???? #TechFuel2024 #CortalInsight #Innovation #DataManagement #ComputerVision

Is your team facing huge image annotation costs? Explore tips and tools to reduce it. #ComputerVision #MachineLearning #DataQuality #DataAnnotation https://lnkd.in/gBWukrRf

Struggling to train Computer Vision model due to limited data? Learn how to overcome it. https://lnkd.in/dBjHRHVE #ComputerVision #DataQuality #MachineLearning #VisionModels #GenAI

Recent breakthroughs in AI, particularly in Computer Vision, have led to significant advancements and widespread adoption in the field. Computer vision is extremely powerful when done right. Check out this blog to read about some of the challenges and how to mitigate them. #ComputerVision #MachineVision #DataQuality #ML #AI #DataManagement

The Foundation of ML Success: Why Data Preparedness Matters ? As computer vision continues to grow, recently there is a massive push in employing data centric approaches. A critical aspect that is important for the success of your ML initiative - data preparedness. How effectively you address data quality issues, ensure data integrity, mitigate bias, handle out of distribution data and consistently maintain these metrics at scale as data dynamically changes over time. At Cortal Insight, our vision is to help resolve these key data challenges faced by computer vision teams across industries. Our current focus is squarely on enhancing all aspects of data and enabling data preparedness for your project. How is your team approaching the critical data challenges in computer vision? We'd love to provide insights on strategies and best practices for: - Enhancing visual data quality - Ensuring your data aligns with real-world requirements - Improving annotation quality and efficiency - Curating the right data for labeling - Automating and streamlining the visual data pipeline - Strategies for efficient data collection - Scaling data preparedness as volumes explode Reach out to discuss how you can better prepared to address data challenges in production. #DataPreparedness #VisualDatasets #ComputerVision #DataManagement #DataQuality #CV #Innovation