# Zero Shot Object Detection with OpenAI's CLIP

**URL:** <https://community.pinecone.io/t/zero-shot-object-detection-with-openais-clip/487>\
**Category:** General\
**Created:** [October 25, 2022, 11:57pm UTC](https://community.pinecone.io/t/zero-shot-object-detection-with-openais-clip/487 "2022-10-25T23:57:59Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![discobot](https://sea2.discourse-cdn.com/flex020/user_avatar/community.pinecone.io/discobot/32/2_2.png) [@discobot](https://community.pinecone.io/u/discobot)\
**Post date:** [October 25, 2022, 11:57pm UTC](https://community.pinecone.io/t/zero-shot-object-detection-with-openais-clip/487/1 "2022-10-25T23:57:59Z")

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The **I** magenet **L** arge **S** cale **V** isual **R** ecognition **C** hallenge (ILSVRC)[1] was a world-changing competition hosted annually from 2010 until 2017. During this time, the competition acted as the catalyst for the explosion of deep learning[2] and was the place to find state-of-the-art image classification, object localization, and object detection.

Researchers fine-tuned better-performance computer vision (CV) models to achieve ever more impressive results year-after-year. But there was an unquestioned assumption causing problems.

* * *
This is a companion discussion topic for the original entry at [https://www.pinecone.io/learn/zero-shot-object-detection-clip/](https://www.pinecone.io/learn/zero-shot-object-detection-clip/)

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**Author:** ![ankusingal123](https://sea2.discourse-cdn.com/flex020/user_avatar/community.pinecone.io/ankusingal123/32/916_2.png) [@ankusingal123](https://community.pinecone.io/u/ankusingal123)\
**Post date:** [June 30, 2023, 5:23am UTC](https://community.pinecone.io/t/zero-shot-object-detection-with-openais-clip/487/2 "2023-06-30T05:23:57Z")

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The code is no longer available