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SAM (Segment Anything Model) es un modelo de segmentación que es capaz de recortar y etiquetar todos los elementos de una imagen de forma automática. Con esta inteligencia artificial podrás ahorrar mucho tiempo en, por ejemplo, dividir capas en tu software de edición de imágenes. Por si es la primera vez que ves un vídeo de este canal, me presento: soy Hilario Abad y te doy la bienvenida a 👁ia verás, el espacio de inteligencia artificial y creatividad en el que cada día abordamos un tema de actualidad. Redes sociales de ia verás: (Más cómodo el enlace en mi perfil) Youtube: @hilarioabad Tiktok: @iaveras Twitter: https://twitter.com/iaveras Instagram: @hilarioabad Web: https://iaveras.com Web de SAM: https://segment-anything.com Web de Track Anything: https://github.com/gaomingqi/Track-Anything #iaveras #inteligenciaartificial #segmentacion #recortar #recortes #photoshop #capas #dividir #snippet #computervision #sam #segmentanythingmodel #recorte #división #ia

Segment Anything (SAM) is a new segmentation model from Meta. It's a huge improvement over the state of the art and is going to change computer vision. Check it out at: https://segment-anything.com/ #datascience #machinelearning #computervision #imagesegmentation #segmentanything #meta See me this month at the: AI Summit in Montreal on April 20 & Arize AI event on April 25

Segment Anything Model ( SAM ) from Meta AI | Meta SAM AI #meta #sammeta #metaaisam #facebook

#sammeta #metaaisam #facebook #meta In this video, I dive deep into the world of SAM AI, also known as the Segment Anything Model by Meta. SAM is a groundbreaking tool that allows for efficient segmentation tasks without additional training. Watch as I demonstrate a SAM DEMO, showcasing how Meta SAM can be used in various applications like AR/VR headsets and object detectors. Throughout the video, I'll be explaining the key features of the Meta SAM demo, including how it can take input prompts from other systems, such as a user's gaze from an AR/VR headset or bounding box prompts from an object detector. This powerful feature enables text-to-object segmentation and can greatly enhance the Meta SAM experience. I'll also discuss the advanced capabilities of SAM, a Meta AI product, and how it's trained on millions of images and masks collected through the use of a model-in-the-loop "data engine." This extensive understanding of images enables zero-shot generalization to unfamiliar objects and images, making the Meta Sam model highly versatile. As we delve into the world of Meta Research, I'll explain how zero-shot generalization allows the Segment Anything Model (SAM) to perform tasks on new, previously unseen data without additional training. I'll share more about the SA-1B Dataset Explorer, the SA-1B Dataset, and the SA-1B, which are all essential to the development of the SAM model. Throughout the video, I'll also be exploring how the segment-anything.com platform integrates with the SAM Model and how the segment-anything GitHub repository can be used to access important resources related to the project. You'll get an in-depth look at the facebookresearch/segment-anything repository, where you can find more information on the Meta AI Research behind the SAM AI. Finally, I'll talk how you can use the SAM Model Checkpoints to ensure the best results and how the ONNX format plays a vital role in the deployment of the SAM AI. We'll also examine the various versions of the SAM model, such as the ViT-L SAM model, ViT-B SAM model, and ViT-H SAM model, and discuss their unique features and capabilities. Join me as I explore the powerful and innovative world of Meta SAM, the Segment Anything Model by Meta, and learn how this cutting-edge technology is revolutionizing the way we approach segmentation tasks. SAM AI, brought to you by Meta Research. Important links related to Segment Anything: Segment Anything Website : https://segment-anything.com/ SAM Demo : https://segment-anything.com/demo Segment Anything / SAM Dataset / SA-1B Dataset : https://segment-anything.com/dataset/index.html Segment Anything / SAM META AI Blog : https://ai.facebook.com/blog/segment-anything-foundation-model-image-segmentation/ Github:https://github.com/facebookresearch/segment-anything Other Playlist Details: Midjourney Playlist : https://youtube.com/playlist?list=PL_algDYccNdmFV95gRlpcmgczrvDFaaBM AI Generative ART Playlist : https://youtube.com/playlist?list=PL_algDYccNdnBWY-hUKwNzojX3iioCyEk Chat GPT Playlist : https://youtube.com/playlist?list=PL_algDYccNdnr_sOmrrJz-J0GX2Maq3cO #Chapter Intro 0:00 Segment Anything Model website walkthrough 0:20 Segment Anything Model Demo 1:29 Segment Anything Model more details 3:15 SA-1B Dataset Explorer 4:07 Segment Anything Model GITHUB 4:37 Outro 5:00