Table of contents
Versatility
SAM can handle a variety of segmentation tasks across different domains and image types. It provides a flexible framework that can be adapted to numerous use-cases without retraining.
Ease of Use
The model allows users to easily interact with the segmentation tool, making it user-friendly even for those with minimal technical expertise. This lowers the barrier to entry for using advanced segmentation techniques.
Open Source Accessibility
Being open source, SAM provides the benefit of community support and continuous improvement. Users can modify and optimize the model for their specific needs.
High Performance
SAM is designed to deliver high-quality segmentation results quickly, making it suitable for real-time applications.
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The latest comments about Segment Anything Model (SAM) on Reddit. This can help you find out how popualr the product is and what people think about it.
I don't know how much adoption they've seen in the real world, but they have some really cool models outside of gen-ai. Stuff like: - https://segment-anything.com/. - Source: Hacker News / 4 months ago
My Wishlist is to see AI features integrated into GIMP 4 by default: - Image generation that will do completions based on prompts on arbitrary areas. Something like this: https://www.adobe.com/ca/products/photoshop/generative-fill.html - Meta's segment anything integrated so that there is no need to painstakenly select objects. https://segment-anything.com It would also label everything in the model, which... - Source: Hacker News / 7 months ago
- Control the number of retrieved tiles with a slider We use OpenAI's CLIP model (https://openai.com/index/clip/) to put texts and images into the same embedding space. We do a similarity search within this space using text query or source image. We are using CLIP finetuned on pairs of satellite images and OpenStreetMap (https://www.openstreetmap.org/) tags (https://github.com/wangzhecheng/SkyScript) and... - Source: Hacker News / about 1 year ago
Segment Anything 2 (SAM 2) which was released on July 29th, 2024 represents a major leap forward in segmentation technology, offering cutting-edge performance in both images and videos. Building on the foundation of the original Segment Anything, which Meta released in April 2023, SAM 2 not only enhances image segmentation but also introduces advanced video capabilities. With SAM 2, users can achieve precise... - Source: dev.to / about 1 year ago
> A segment then is a collection of images that follow each other in time? A segment is a visually distinctive... Segment of image, segmentation is basically splitting an image into segments corresponding to objects: https://segment-anything.com, as such it has nothing to do with time or video. Now SAM 2 is about video, so they seem to add object tracking (that is attributing same id to the same object/segment... - Source: Hacker News / about 1 year ago
Image segmentation is a crucial task in computer vision, where the goal is to extract the instance segmentation mask for a desired object within the image. I've already worked on a project, SamGIS, that focuses on this particular application of computer vision. A logical progression now would be incorporating the ability to recognize objects through text prompts. This apparently simple activity is actually... - Source: dev.to / over 1 year ago
I wrote the backend adapting SAM Exporter with the aim to use the machine learning segment anything project for the purpose to improve polygons recognition in GIS web applications. - Source: dev.to / over 1 year ago
Segment Anything is a transformer https://segment-anything.com/. - Source: Hacker News / almost 2 years ago
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