Awesome Instance Segmentation | Photo Segmentation on Custom Dataset using Detectron2

Deep learning instance segmentation with detectron2 can enable awesome instance segmentation results for photo segmentation on your custom dataset. segmentation detectron2 is a powerful tool for achieving best panoptic segmentation model performance on image segmentation projects. In this tutorial we will learn how to build a Detectron2 model based on your own custom dataset . We will learn to train it on Windows and Linux , and code the inference Python code for testing the model on fresh images You can download the code here : https://eranfeit.lemonsqueezy.com/buy/4e044baf-d59e-46f4-bf77-c9021c6d07d6 or here : https://ko-fi.com/s/2119cfd494 Here is a full post with the code : https://eranfeit.net/detectron2-custom-dataset-training-made-easy/ Here is a link to the post for Medium users : https://medium.com/image-segmentation-tutorials/detectron2-custom-dataset-training-made-easy-351bb4418592 You can find more computer vision tutorials in my blog page : https://eranfeit.net/blog/ You can find more cool Instance segmentation projects and tutorials in this playlist : https://www.youtube.com/playlist?list=PLdkryDe59y4Y24C9LW1AjffKmgGUyaInz ~~~~~~~~~~~~~~~ Best AI Photo Tools (Backgrounds, Objects, Headshots) ~~~~~~~~~~~~~~~ ✅ Phot-AI packs more than 30 AI powered tools into one place—covering background and object removal/replacement, image extension and a suite of creative generators for art, icons and logos. follow the link and start creating : https://phot.ai?ref=eran33 ✅ Pixelcut uses AI to help you create professional photos and videos. You can instantly remove backgrounds, retouch, expand and upscale images, or generate new images and even videos from a simple text prompt or reference picture. tap the link and start creating today! : https://pixelcut.ai/?via=eran ✅ PhotoGPT AI acts as your personal photographer—just describe what you need and the platform generates high quality headshots or casual images within minutes. Its built in photo editor lets you remove objects, replace backgrounds and make studio quality corrections with a single click. You can even train your own AI model using a few selfies, receive context aware prompt suggestions and upscale images for print ready results. Dive into ~~~~~~~~~~~~~~~ recommended courses and books ~~~~~~~~~~~~~~~ If you’re just beginning, I recommend this step-by-step course designed to introduce you to the foundations of Computer Vision : https://trk.udemy.com/9LoE7E If you’re already experienced and looking for more advanced techniques, check out this deep-dive course : https://trk.udemy.com/EEDyMD ~~~~~~~~~~~~~~~ CONNECT ~~~~~~~~~~~~~~~ ☕ Buy me a coffee - https://ko-fi.com/eranfeit 🌐 https://eranfeit.net 🖥️ Email : [email protected] 🤝 Fiverr : https://www.fiverr.com/s/mB3Pbb 🐦 Twitter - https://twitter.com/eran_feit 📸 Instagram - https://www.instagram.com/eran_feit/ ▶️ Subscribe - youtube.com/@eranfeit?sub_confirmation=1 🐙 Facebook - https://www.facebook.com/groups/3080601358933585 📝 Medium - https://medium.com/@feitgemel ~~~~~~~~~~~~~~ SUPPORT ME 🙏~~~~~~~~~~~~~~ 🅿 Patreon - https://www.patreon.com/EranFeit ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ #EranFeit #instancesegmentation #python ~~~~~~~~~~~~~~ Chapters ~~~~~~~~~~~~~ 00:00 Introduction 00:21 Annotate the images & image discovery 09:45 Train the model on Windows (CPU) 22:35 Train the model on Ubuntu (GPU) 25:49 Test the model ~~~~~~~~~~~~~~ Credits ~~~~~~~~~~~~~ Music by Vincent Rubinetti Download the music on Bandcamp: https://vincerubinetti.bandcamp.com/album/the-music-of-3blue1brown Stream the music on Spotify: https://open.spotify.com/album/1dVyjwS8FBqXhRunaG5W5u