CLIP efficiently learns visual concepts from natural language supervision; it can be applied to any visual classification benchmark by simply providing the names of the visual categories to be recognized, similar to the “zero-shot” capabilities of GPT-2 and 3.
About CLIP by OpenAI on Product Hunt
“A neural network for connecting text and images”
CLIP by OpenAI launched on Product Hunt on January 15th, 2021 and earned 88 upvotes and 3 comments, placing #16 on the daily leaderboard. CLIP efficiently learns visual concepts from natural language supervision; it can be applied to any visual classification benchmark by simply providing the names of the visual categories to be recognized, similar to the “zero-shot” capabilities of GPT-2 and 3.
On the analytics side, CLIP by OpenAI competes within Artificial Intelligence — topics that collectively have 469k followers on Product Hunt. The dashboard above tracks how CLIP by OpenAI performed against the three products that launched closest to it on the same day.
Who hunted CLIP by OpenAI?
CLIP by OpenAI was hunted by Abdelilah Hicham. 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 CLIP by OpenAI including community comment highlights and product details, visit the product overview.
Abdelilah Hicham