Asklayer
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Segment Anything Model (SAM)
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Asklayer Segment Anything Model (SAM)No features have been listed yet.
Asklayer's answer
Asklayer is built by a team of experts from Japan and was created out of frustration with low response rates associated with traditional surveys. We found that most users hate surveys, however they are willing to answer a few questions.
So we created Asklayer, a micro-survey tool that presents itself as simple questions to the user to reduce friction and increase response rates. Unlike traditional surveys we collect data after every question so even if the user abandons part way, you still get answers and a measure of the drop-off point.
The results of all these efforts is a much better user experience, a greatly increased response rate and a much greater total volume of data collected.
Asklayer's answer
It's flexible and does most things well. Support is amazing, they even added a feature for me!
Got a really high response rate. I used this in tandem with Promolayer on my EC site for CRO. I did a 'whats missing from this product description' type survey + post purchase + product follow-up email and frankly, it's been amazing. I spent about 2 years trying to figure out my direction via analytics and heatmapping when I should have just been talking to my users the whole time.
Based on our record, Segment Anything Model (SAM) seems to be more popular. It has been mentiond 7 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
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 / about 2 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 / 8 months 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 / 8 months 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 / 9 months 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 / 11 months ago
Ask User - User surveys without stress
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