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Product upvotes and comments

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Product vs the next 3

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Facebook Computer Vision Tags

Show Facebook computer vision tags in Google Chrome

About Facebook Computer Vision Tags on Product Hunt

Show Facebook computer vision tags in Google Chrome

Facebook Computer Vision Tags launched on Product Hunt on December 31st, 2016 and earned 371 upvotes and 27 comments, earning #1 Product of the Day.

On the analytics side, Facebook Computer Vision Tags competes within Photography, Developer Tools, Artificial Intelligence and Tech — topics that collectively have 1.8M followers on Product Hunt. The dashboard above tracks how Facebook Computer Vision Tags performed against the three products that launched closest to it on the same day.

Who hunted Facebook Computer Vision Tags?

Facebook Computer Vision Tags was hunted by Ameet Shah. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

For a complete overview of Facebook Computer Vision Tags including community comment highlights and product details, visit the product overview.