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Domain: github.com Added: 2025-07-12 Status: βœ“ Success
github,development,code,github.com
Please check out our new release on Segment Anything Model 2 (SAM 2). - SAM 2 code: https://github.com/facebookresearch/segment-anything-2 - SAM 2 demo: https://sam2.metademolab.com/ - SAM 2 paper: ht...
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Error extracting title
https://ai.meta.com/blog/segment-anything-foundation-model-image-segmentation/
April 5, 2023 Segmentation β€” identifying which image pixels belong to an object β€” is a core task in computer vision and is used in a broad array of ap...
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Video models are zero-shot learners and reasoners
https://video-zero-shot.github.io/
Veo 3 shows emergent zero-shot abilities across many visual tasks, indicating that video models are on a path to becoming vision foundation modelsβ€”jus...
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Synthetic Data Generation Using the BLIP and PaliGemma Models
https://pyimagesearch.com/2025/08/11/synthetic-data-generation-using-the-blip-and-paligemma-models/
Table of Contents Synthetic Data Generation Using the BLIP and PaliGemma Models In this tutorial, we embark on the first part of a two-part series whe...
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In this tutorial, you’ll learn how to use OpenCV’s β€œdnn” module with an NVIDIA GPU for up to 1,549% faster object detection (YOLO and SSD) and instanc...
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2 Years of ML vs. 1 Month of Prompting
https://www.levs.fyi/blog/2-years-of-ml-vs-1-month-of-prompting/
2 Years of ML vs. 1 Month of Prompting November 7, 2025 Recalls at major automakers cost hundreds of millions of dollars a year. It’s a huge issue. To...
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Stretch iPhone to its Limit, a 2GiB Model that can Draw Everything in Your Pocket
https://liuliu.me/eyes/stretch-iphone-to-its-limit-a-2gib-model-that-can-draw-everything-in-your-pocket/
Every year, we have a new iPhone that claims to be faster and better in every way. And yes, these new computer vision models and new image sensors can...
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Running SmolVLM Locally in Your Browser with Transformers.js - PyImageSearch
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Table of Contents - Running SmolVLM Locally in Your Browser with Transformers.js - Introduction - SmolVLM: A Small But Capable Vision-Language Model -...
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Video Understanding and Grounding with Qwen 2.5
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I trained a model. What is next?
https://medium.com/kaggle-blog/i-trained-a-model-what-is-next-d1ba1c560e26?source=rss----4b0982ce16a3---4
I trained a model. What is next? Here at Kaggle we’re excited to showcase the work of our Grandmasters. This post was written by Vladimir Iglovikov, a...
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Error extracting title
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Multi-modal ML with OpenAI's CLIP Language models (LMs) can not rely on language alone. That is the idea behind the β€œExperience Grounds Language” pape...
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