Encord是用於AI模型開發的完整數據引擎。它提供了專門用於高級計算機視覺團隊的工具和工作流程,以使他們的標註和工作流程管理更加流暢,清理和整理數據,驗證標籤質量,並評估模型性能。
要使用Encord,首先創建一個項目並上傳您的視覺數據。然後,您可以使用標註工具和工作流程管理功能對數據進行標註和標籤。標註完成後,您可以使用Encord提供的各種工具和工作流程進行模型評估,管理和整理數據,並提高模型性能。
更多聯絡資訊,請訪問聯絡我們頁面(https://encord.com/contact-us/)
Encord 公司名稱:Cord Technologies, Inc., Cord Technologies Limited 。
有關Encord 的更多信息,請訪問關於我們頁面(https://encord.com/about-us/) 。
Encord登入連結:https://app.encord.com/login
Encord定價連結:https://encord.com/pricing/
Encord Twitter連結:https://twitter.com/encord_team
Encord Github連結:https://github.com/encord-team
社群媒體聆聽
Encord Launches First Multimodal AI Data Platform
Find out more about Encord's multimodal AI data platform: https://encord.com/multimodal Encord enables AI teams to manage, curate, and label multimodal data such as image, video, audio, document, text and DICOM files – all on one platform. Transform petabytes of unstructured data into high-quality data for training, fine-tuning, and aligning AI models, fast. Learn more about Encord - https://encord.com
What is Active Learning? The Future for Training AI Models
► Get our recent book Building LLMs for Production: https://tinyurl.com/3rbyjmwm The e-book version: https://academy.towardsai.net/courses/buildingllmsforproduction?ref=1f9b29 ► Our new course "From Beginners to Advanced LLM Developer": https://academy.towardsai.net/courses/beginner-to-advanced-llm-dev?ref=1f9b29 ► Read the full article: https://www.louisbouchard.ai/active-learning/ ► Encord Active: https://github.com/encord-team/encord-active/ ► Encord: https://encord.com/ ►The webinar: https://encord.com/lp/semantic-visual-search-clip-chatgpt-webinar/ ► Paper and articles cited: https://link.springer.com/article/10.1007/s11390-020-9487-4 https://encord.com/blog/active-learning-computer-vision-guide/ https://encord.com/blog/active-learning-the-ml-team-of-the-future/ ► Twitter: https://twitter.com/Whats_AI ► My Newsletter (A new AI application explained weekly to your emails!): https://www.louisbouchard.ai/newsletter/ ► Support me on Patreon: https://www.patreon.com/whatsai ► Join Our AI Discord: https://discord.gg/learnaitogether #ai #machinelearning #datascience
New Segment Anything 2 Model is Released - Model Overview and Auto Labelling of Dataset with Encord
Inside my school and program, I teach you my system to become an AI engineer or freelancer. Life-time access, personal help by me and I will show you exactly how I went from below average student to making $250/hr. Join the High Earner AI Career Program here 👉 https://www.nicolai-nielsen.com/aicareer (PRICES WILL INCREASE SOON) You will also get access to all the technical courses inside the program, also the ones I plan to make in the future! Check out the technical courses below 👇 Segment Anything 2 with Encord: https://encord.com/blog/sam2-now-in-encord/?utm_medium=paid-social&utm_source=influencer&utm_campaign=sam2announcment ___________________________________________________________ In this video 📝 we are going to take a look at the new Segment anything 2 model which was just released by Meta. The new model is awesome and is a huge improvement from the first version. It has been trained on significantly more data and also added a memory mechanism which means it can now track segmented objects across frames in a video. We will take a look at how you can use it to auto label your own images, videos and dataset with just a few clicks. I'm going to use the Encord platform who are the first ones with SAM2 integrated into their platform so you can test it out. The new SAM2 model is going to be changing the computer vision space. If you enjoyed this video, be sure to press the 👍 button so that I know what content you guys like to see. ___________________________________________________________ 🛠 Freelance Work: https://www.nicolai-nielsen.com/nncode ___________________________________________________________ 💻💰🛠 High Earner AI Career Program: https://www.nicolai-nielsen.com/aicareer 👨💻 Learn Software Engineering instead with my good friend Tech with Tim: https://coursecareers.com/a/NicolaiAI?course=software-dev-fundamentals 📈 Investment Course: https://www.nicos-school.com/p/investment-course ⚙ Real-world AI Technical Courses: (https://www.nicos-school.com) 📗 OpenCV GPU in Python: https://www.nicos-school.com/p/opencv-gpu-course 📕 YOLOv7 Object Detection: https://www.nicos-school.com/p/yolov7-custom-object-detection-with-deployment 📒 Transformer & Segmentation: https://www.nicos-school.com/p/transformer-and-segmentation-course 📙 YOLOv8 Object Tracking: https://www.nicos-school.com/p/yolov8-object-tracking-course 📘 Research Paper Implementation: https://www.nicos-school.com/p/research-paper-implementation 📔 CustomGPT: https://www.nicos-school.com/p/customgpt-course ___________________________________________________________ 📞 Connect with Me: 🌳 https://linktr.ee/nicolainielsen 🌍 My Website: https://www.nicolai-nielsen.com/ 🤖 GitHub: https://github.com/niconielsen32 👉 LinkedIn: https://www.linkedin.com/in/nicolaiai 🐦 X/Twitter: https://twitter.com/NielsenCV_AI 🌆 Instagram: https://www.instagram.com/nicolaicodes/ ___________________________________________________________ 🇦🇪 Want to move to Dubai and get visa? - Book a free consultation: https://www.genzoneconsulting.com/meetings/schedule-session/nny ___________________________________________________________ 📷 My camera calibration software, CharuCo Boards, and Checker boards Link to webshop: https://camera-calibrator.com ___________________________________________________________ Timestamps: 00:00 Introduction 00:29 SAM2 Blogpost 03:46 SAM2 Paper 05:20 Encord Platform 06:31 Auto Labeling with SAM2 11:38 Outro Tags: #SAM2 #Realtimesegmentation #Autoannotation
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