Added notebook for zero-shot object detection

[Vishnunkumar]

CLIP-CROP

• Zero-shot object detection and extraction by leveraging CLIP and Yolo.
• Crop and extract sections from images by using text descriptions.
• Used CLIP for semantic matching with descriptions and object detection with Yolo

[review-notebook-app[bot]]

Check out this pull request on 

See visual diffs & provide feedback on Jupyter Notebooks.

---

Powered by ReviewNB

[merveenoyan]

@Vishnunkumar it is very end to end, I just had some suggestions about the wording and the docstrings. Maybe you could also add a bit of text descriptions under the headers :) After you iterate, if it looks good we can merge!

[Vishnunkumar]

Hi @merveenoyan , thanks for the suggestions. I will review them and update. I am really grateful and elated to contribute to HuggingFace.

[johko]

Hey @Vishnunkumar - really cool example you put together here. I would mention the same as @merveenoyan , maybe still a bit more text describing what happens in the steps would be nice (you are already doing it well at the beginning). But apart from that looks great :+1:

[Vishnunkumar]

Hi team,

Thanks for the valuable feedback, have upgraded the descriptions to contain more information.

[Vishnunkumar]

Hi team,

Thanks for the valuable feedback, have updated the descriptions to provide apt context about the notebook.

[Vishnunkumar]

Thanks for accepting my PR, I am grateful for being a part of the HuggingFace community. 😄