Скачать или смотреть Free Image Labeling frameworks in Python || Use to Train Deep Learning Models

🚀 Master Image Labeling with Label Studio, LabelMe & CVAT! 🎯

Welcome to the ultimate tutorial on image annotation for Deep Learning! In this video, you’ll learn how to use three powerful labeling tools step-by-step:

1️⃣ Label Studio – Versatile, web-based annotation for all your custom datasets
2️⃣ LabelMe – Lightweight, easy-to-use polygon drawing for precise masks
3️⃣ CVAT – Professional-grade, collaborative annotation for large-scale projects

🔥 Why watch?

Hands-on demos with real example images 📸

Best practices to speed up your workflow ⏱️

Tips & tricks to prepare data for YOLOv12, U-Net, and more! 🤖

👉 What you’ll get:

Clear setup guides & UI walkthroughs

Annotation formats: bounding boxes, polygons, masks 🎨

Exporting to COCO, Pascal VOC & TFRecord 🗂️

Pro tips on quality control & labeling speed ⚡

🎓 Who is this for?

AI researchers & enthusiasts

Computer Vision developers

Data scientists building object detection & segmentation models

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Chapters:
00:00 – Introduction
00:24 – Label Studio
05:46 – LabelMe
09:33 – CVAT