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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
A very simple Chrome Extension that displays the automated image tags that Facebook has generated for your images
| Date | Stars |
|---|---|
| 2026-07-31 | 1487 |
| 2026-08-04 | 1487 |
| 2026-08-06 | 1487 |
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# Show Facebook Computer Vision Tags Chrome Extension  Since April 2016, Facebook has been [automatically adding `alt` tags](https://code.facebook.com/posts/457605107772545/under-the-hood-building-accessibility-tools-for-the-visually-impaired-on-facebook/) to images you upload that are populated with keywords representing the content of your images: ```html <img csrc="https://facebook.com/some-url.jpg" alt="Image may contain: golf, grass, outdoor and nature" width="316" height="237"> ``` They are labeling your images using a [Deep ConvNet](https://medium.com/@ageitgey/machine-learning-is-fun-part-3-deep-learning-and-convolutional-neural-networks-f40359318721#.luqjma59e) built by Facebook's [FAIR team](https://research.fb.com/category/facebook-ai-research-fair/). On one hand, this is really great. It improves accessibility for blind users who depend on screen readers which are only capable of processing text. But I think a lot of internet users don't realize the amount of information that is now routinely extracted from photographs. Facebook (and Google, Apple, Amazon, etc) can easily tell from your photographs if you have a pet dog, if you collect cameras, if you play golf, if you have children, or if you are just really into sunglasses. There's nothing stopping them from using this information to show you relevant ads just based on photos of you - even if another user uploaded the photo and didn't even directly tag you! This is a very simple Chrome Extension that I hacked together in a few minutes to make it easy to see the tags that Facebook is automatically applying to you and your friends' photos. Once you install it, all the photos you see on your Facebook timeline will automatically be overlaid with their tags, like this: <img width="524" src="https://cloud.githubusercontent.com/assets/896692/21574687/3443b268-ceac-11e6-85ee-45f59408f9bb.png"> The goal is simply to make everyone aware of the kind of information that is routinely extracted from your own images today. This isn't some technology that is 'coming soon', but this is something in *wide-spread production use now by every major internet company*. You can even [learn how to implement this kind of system yourself](https://medium.com/@ageitgey/machine-learning-is-fun-part-3-deep-learning-and-convolutional-neural-networks-f40359318721) using widely available open-source software. Here's some examples of the kinds of things that Facebook detects in your photos: ### Objects in your photos It's possible to tell what kinds of objects are in your photos and identify your interests based on that.  ### Activities you are doing Whether you are eating, running, or playing golf, it's possible for an algorithm to tell what you are doing in your photographs. <img width="523" alt="" src="https://cloud.githubusercontent.com/assets/896692/21574724/f5055da8-ceac-11e6-9ec0-14629f42deca.png"> ### When and where a photo was taken You can tell if a photo was taken inside or outside, what the time of day was, what physical landmarks (mountains, trees, water, etc) were around, and so on. <img width="623" alt="screen shot 2016-12-30 at 4 30 36 pm" src="https://cloud.githubusercontent.com/assets/896692/21574743/5de83548-cead-11e6-9211-3e75a588523d.png"> ### Events you are attending It's even possible to tell which kind of sporting event you are attending. <img width="949" alt="screen shot 2016-12-30 at 4 35 31 pm" src="https://cloud.githubusercontent.com/assets/896692/21574780/24767440-ceae-11e6-9ee1-b5e065f89c93.png"> These are just a few examples. See what kinds of things Facebook has found in your own photos! # Installing this Chrome Extension Option 1: From the Chrome Web Store 1. Update: Sorry, this is extension not currently available in the Chrome Web St
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:c64141730fe4442e, name:computer vision