Object Detection using DETR: Unlocking State-of-the-Art Performance
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Discover the power of DETR (DEtection TRansformer), a game-changing architecture that’s revolutionizing object detection tasks. In this video, we’ll delve into the world of DETR and explore its inner workings, advantages, and applications.

What You’ll Learn:
+ DETR Fundamentals: Understand the architecture, key components, and how DETR improves upon traditional object detection methods.
+ Hands-on Implementation: Follow along with our step-by-step PyTorch implementation and learn how to train and evaluate the DETR model.
+ Real-World Applications: Explore the various applications of DETR, from autonomous vehicles to surveillance systems.
+ Visualization and Results: Witness the impressive object detection capabilities of DETR through interactive visualizations.
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Resources
Hugging face: https://huggingface.co/facebook/detr-resnet-50
https://universe.roboflow.com/roboflow-jvuqo/football-players-detection-bzlaf/images/xGUiRtlWXLa5wa6UOIHr
Code Repository: https://github.com/Gagan824/Computer-Vision-Projects/blob/main/DETR/DETR.ipynb
Code Repository Training: https://github.com/Gagan824/Computer-Vision-Projects/blob/main/DETR/train_huggingface_detr_on_custom_dataset.ipynb
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