?? AI is Changing the Way We Work! ?? AI is not just a tool, it’s reshaping jobs, automating tasks, and boosting productivity across industries. But what does this mean for the future of work? In this blog, Labellerr explores: ?? How AI is automating repetitive tasks ?? New job roles emerging with AI ?? How businesses can adapt to AI-driven change ?? The balance between AI and human intelligence ?? Want to stay ahead in the AI-powered workplace? Read the full blog here: https://lnkd.in/ds2qhADi ?? How do you see AI changing your work? Share your thoughts below! ?? #AI #FutureOfWork #Automation #ArtificialIntelligence #Productivity #Labellerr
Labellerr
软件开发
Wilmington，Delaware 4,732 位关注者
AI-Driven Data Labeling and Automation Solutions for Accelerating Computer Vision Projects Across All Industries.
关于我们
Labellerr is a cutting-edge SaaS platform that accelerates AI development for organizations by offering AI-powered data labeling and automation. Our technology, featuring a unique Smart Feedback Loop, empowers machine learning teams to efficiently train computer vision models. We provide AI-powered data labeling and image annotation services, enabling fast, accurate, and iterative access to high-quality training data. Our platform optimizes unstructured data for seamless model training. Labellerr helps industries like healthcare and autonomous vehicles streamline data pipelines, improving accuracy and development speed. Services: Data Labeling for AI: High-quality, scalable data labeling to train machine learning models. Annotation for Machine Learning: Image, video, and text annotation services for AI model training. Smart Feedback Loop: Continuous optimization and automation for faster, iterative data training. Data Pipeline Automation: Streamlining data workflows to enhance AI model accuracy and efficiency. Specialties: Computer Vision ? Unstructured Data Management ? Machine Learning Model Training ? Healthcare AI Solutions ? Autonomous Vehicle AI Development ? Retail and Smart Cities AI Explore more at: https://www.labellerr.com/
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https://www.labellerr.com?utm_source=linkedin&utm_medium=org_info&utm_campaign=website_link&utm_id=linkedin_page&utm_content=description
Labellerr的外部链接
- 所属行业
- 软件开发
- 规模
- 11-50 人
- 总部
- Wilmington，Delaware
- 类型
- 私人持股
- 创立
- 2019
- 领域
- deeplearning、data annotation、data labeling、artificial intelligence、machine learning、image、video、geospatial、labelling software、saas、computer vision、MLOps、Model selection、Model training、managed service、enterprise saas、AI consulting、data science和data preparation
地点
Labellerr员工
动态
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?? Labellerr Partners with Paravision! ?? We are excited to partner with Paravision! ?? Paravision is the leader in trusted Vision AI, with globally deployed AI software that is ethically developed, conscientiously sold and built for the most challenging applications like Face Recognition, Liveness, Deepfake Detection. Now Paravision can: ? Label data faster with AI-assisted tools ? Integrate our tool easily into their AI workflow with our SDK ? Build secure and scalable AI solutions With this partnership, Paravision can build faster, scalable and cost effective models. #AI #ComputerVision #FacialRecognition #MachineLearning #DataAnnotation #Labellerr #Paravision
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?? Upcoming Blog on Yolov12!! YOLOv12 is here, and in our upcoming blog will cover everything you need to know about this fast and accurate object detection model. ?? What We Will Cover: ? How YOLOv12 compares to other object detection models ? Speed vs. accuracy: How it performs against real-time models ? Why attention-based models are usually slower than CNNs (and how YOLOv12 solves it!) ? A deep dive into all YOLOv12 models (N, S, M, L, X) ? Comparing architectures to CSPDarknet, ELAN, C3K2, and R-ELAN(Proposed in Yolov12) ? How YOLOv12 improves area-based attention? ? Can YOLOv12 process videos? (Yes, and we’ll explain how!) ? Using YOLOv12 for surveillance: Detecting vehicles & recognizing number plates ? Can we combine YOLOv12 with AI agents for automation? ?? Follow us to stay updated & let us know if you have any questions! ?? #YOLOv12 #ObjectDetection #AI #DeepLearning #ComputerVision #RealTimeAI
It Was Released 13 Days Ago, Here Are 13 Things You Need to Know About YOLOv12! ???? 1. First Attention-Centric YOLO – Brings vision transformers into real-time object detection. 2. Area Attention Module – Smarter focus with reduced computational cost. 3. Outperforms YOLOv11, YOLOv10 & RT-DETR – Faster and more accurate. 4. R-ELAN Networks – Optimized feature aggregation for better training. 5. FlashAttention Integration – Fixes slow memory access issues. 6. 5 Model Sizes (N, S, M, L, X) – Scalable for different hardware and applications. 7. Runs 42% Faster Than RT-DETRv2 – Speed and efficiency at their peak. 8. Better Than CNNs? – Balances CNN’s speed with transformer’s intelligence. 9. No Pretraining Needed – Achieves high accuracy out of the box. 10. Lower Latency, Higher FPS – Making AI inference even smoother. 11. Works on Diverse Hardware – Optimized for T4, RTX, A6000 GPUs. 12. Stronger Small Object Detection – Better accuracy for drones & robotics. 13. Open-Source & Ready to Test! – Available on GitHub for experimentation. Is YOLOv12 the future of real-time object detection? ?? Drop your thoughts below! ?? #YOLOv12 #ComputerVision #DeepLearning #ObjectDetection #AI
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?? Learn Text Annotation with Labellerr! This tutorial shows how to annotate text data for AI and NLP. You will learn: ? Named Entity Recognition (NER) ? Sentiment Analysis ? Key Phrase Identification ? Attributes & Classification ? Using GenAI for annotation If you work with AI models, big data, or content categorization, this video will help you structure text data for better machine learning results. #AI #NLP #TextAnnotation #MachineLearning #DataScience #Labellerr
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AI Agents: Transforming Industries One Task at a Time! Transportation – Agents optimize fleet management by autonomously scheduling and rerouting vehicles based on traffic and demand. Energy – They can monitor power grids, predict failures, and autonomously balance energy supply and demand. Real Estate – They can assist in virtual property tours, answering queries in real-time and helping buyers make decisions. Entertainment – AI agents curate personalized content playlists and generate automated video highlights for media platforms. Agriculture – Agents monitor soil health, control smart irrigation systems, and recommend optimal harvesting times. Construction – AI agents oversee construction sites, ensure safety compliance, and automate resource allocation. Automotive – They can diagnose vehicle issues, suggest preventive maintenance, and assist in self-driving operations. Banking – AI agents detect fraud in real-time, automate loan approvals, and provide instant customer support. Aerospace – They can optimize flight paths, manage autopilot functions, and assist in aircraft maintenance scheduling. Fashion – Agents predict fashion trends, automate clothing design, and provide personalized shopping assistance. Media – They can generate automated news summaries, tag media assets, and moderate content in real time. Travel – AI agents act as virtual travel assistants, planning itineraries, booking tickets, and providing real-time updates. Utilities – They can detect leaks in water and gas systems, automate billing, and optimize energy distribution. Logistics – Agents manage warehouse inventory, optimize delivery routes, and provide real-time shipment tracking. Sports – AI agents analyze live match data, provide tactical insights to coaches, and automate player performance tracking. Gaming – Agents enhance NPC behavior, personalize difficulty levels, and provide in-game recommendations. AI agents are revolutionizing industries by automating complex tasks and improving efficiency. Which industry do you think will benefit the most? ?? Read more: https://lnkd.in/g6wigGHc #Agents #AIAgents #IndustrialAutomation #MachineLearning #FutureOfAI
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19x your Image Annotation with Labellerr! Want to improve your AI models with high-quality labeled data? This tutorial walks you through the image annotation process using Labellerr, covering: ? Bounding boxes & polygon annotation for accurate object labeling ? Keypoints to mark specific object details ? SAM (Segment Anything Model) for fast & efficient polygon annotation ? Grouping tool for entity-based labeling ? Attributes & classifications for better dataset organization Watch now & take your AI training to the next level! #AI #MachineLearning #DataAnnotation #ComputerVision #Automation
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??Labellerr Joins the Altair Partner Alliance! ?? We’re thrilled to announce that Labellerr is now part of the Altair Partner Alliance (APA)! ?? This means Altair users can now access Labellerr seamlessly and unlock powerful AI-driven features for faster, smarter data annotation: ? AI-Assisted Labeling – Automate & accelerate data annotation ? Video & Image Annotation – Enhance computer vision models ? Model-Assisted Labeling – Improve accuracy with AI-powered tools ? Collaboration & Workflow Automation – Streamline team projects With Altair & Labellerr, AI training for engineering, automation, and data-driven decision-making just got a whole lot easier! ?? Learn More: https://lnkd.in/ghjFXp3b #AI #Labellerr #DataAnnotation #MachineLearning #AltairPartnerAlliance #Automation #ComputerVision
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?? AI is transforming agriculture! ?? Oishii, a leader in vertical farming, needed precise image labeling for its robotic strawberry harvesters. The challenge? Detecting ripeness and exact cutting points. With Labellerr’s Group Tool, they improved AI accuracy and efficiency, making harvesting smarter and faster! But it’s not just farming—industries like automotive, security, and sports are also using advanced data labeling to power AI innovations. ?? Watch how it works: https://lnkd.in/dMZ8bqeC #AI #DataLabeling #Agriculture #ComputerVision #MachineLearning
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