Computer vision tasks, such as object detection, have traditionally relied on labeled image datasets for training. However, this approach is limited to detecting only the set of classes present in the training data. Zero-shot object detection (ZSD) is a breakthrough in computer vision that allows models to detect objects in images based on free-text queries, without the need for fine-tuning on labeled datasets
This capability has significant implications for businesses, as it enables more flexible and adaptable computer vision systems. In this blog post, we will explore how zero-shot object detection is changing computer vision tasks in business and discuss some of the key benefits and challenges associated with this technology.
https://www.ai-contentlab.com/2023/09/basics-of-zero-shot-object-detection.html
Dear Abdulkader Helwan ,
Zero-shot object detection (ZSD) is the task of object detection where no labeled training data is available for some target object classes. For example, there are times we'd like to detect objects that are hard to find in the class list of pre-trained models.
https://www.clarifai.com/blog/zero-shot-object-detection#:~:text=Zero%2Dshot%20object%20detection%20(ZSD,list%20of%20pre%2Dtrained%20models.
Regards,
Shafagat
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