Visual Layer @visual_layer
The AI-native environment for visual data. visual-layer.com Joined March 2023-
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See how Visual Layer is defining the future of visual intelligence and putting it into the hands of those who protect and defend. VL is in London with the @Mafat_IL delegation at DSEI 2025 today and tomorrow! Message us or stop by the booth to chat: lnkd.in/d8U8ZkMd
Visual Layer will be presenting our AI-native visual intelligence platform at DSEI UK this September, representing the Israeli defense tech scene under the auspices of @Mafat_IL
VL has been selected by @Mafat_IL, Israel’s Directorate of Defense Research & Development, as one of a few DefenseTech startups on display at DSEI UK 2025. Come see how VL helps defense organizations transform vast amounts of raw visual data into real-time operational insight.
Following the first track, we're now diving into our second track at IMVC - how data drives AI in vision. This track covers enhancing model performance and tackling challenges like label noise and domain adaptation. Stay tuned for more! Secure your spot bit.ly/41xoc2U
I will be at @IMVC_Israel this week, presenting @visual_layer’s work on Mislabel Detection, and how it affects model training. Feel free to stop by my talk and say hi after.
Charting the Uncharted: User Videos in Social Networks Every day, billions of videos are uploaded—capturing everything from daily life to the unimaginable. What can AI uncover from this vast content? @BicksonDanny, CEO of @visual_layer, dives into the hidden patterns of…
Visual Layer will be at #MWC25 Barcelona next week, showcasing how we help organizations search, manage, and optimize massive visual datasets with AI-driven intelligence. 📍 Find us at: Hall 5 - Stand 5E61, 5G61
Visual Layer is now available on AWS Marketplace. You can now seamlessly integrate Visual Layer to explore, enrich, and extract insights from massive visual datasets all within the AWS ecosystem. Learn more here: aws.amazon.com/marketplace/pp…
The new DeepSeek multimodal model, Janus-Pro-1B, is now available for inference on the Visual Layer platform. Try it out here: app.visual-layer.com/free-trial
Today we released our new mislabel detector, LabelRank, to the Visual Layer platform. LabelRank outperforms all existing baseline methods across a variety of mislabel detection benchmarks, some of which you can see in the blog post below. visual-layer.com/blog/mislabel-…
If you missed the LLMs / VLMs episode, here is the video for you! 4:20 Fine-Tuning LLMs: An Approach with @clarifai @Sumanth_077 39:52 From raw data to refined datasets for AI Model Dev @alushamir @visual_layer 1:12:17 Reflections on building our first LLM-Based App @_privateai
The Monthly Dev is next week! Topic: LLMs and VLMs 🗓️ Nov 26, 5 pm CET Speakers: - Sumanth Papareddy, ML Dev Advocate, Clarifai - Amir Alush, CTO of Visual Layer - Graham Miller, Fullstack Developer at Private AI @Sumanth_077 @alushamir @_privateai @clarifai @visual_layer
Thank you AI Day organizers Prof. Lior Wolf for inviting us to give a talk on how Visual Layer’s product is used in production to help structure index and search Iron Swords war footage. #AIDay
Our collaborative blog with the Amazon S3 team is live! Discover how Visual Layer's cloud users enhance the quality of their massive image and video datasets using AWS infrastructure, especially S3. 🚀 #AWS aws.amazon.com/blogs/storage/…
Our CEO, Dr. Danny Bickson, will be delivering a lecture on Visual Layer's visual data management system at the AI Day conference. Join us at Tel Aviv University on February 5th to connect and learn more! 💡
We are proud to announce that Visual Layer cloud platform was chosen by the Israeli Government for the Iron Swords war video footage memorial. Our platform uses AI to search, index manage and visualize millions of war videos. #AI #visual_layer
What if computers can automatically identify and separate parts of images - like identifying every tree in a forest photo! Segment Anything model from Meta makes this possible! This post shows how you can auto-label your images using Segment Anything in fastdup, for FREE.
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