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Life & fun · January 28, 2022

Faster R-CNN object detector implemented in PyTorch and TensorFlow 2

Fresh and (I think) clean implementations of Faster R-CNN in PyTorch and TensorFlow 2/Keras. I wanted to learn about object detectors and decided to understand and implement a foundational model in the field, Faster R-CNN (elements of which are still used in modern models to this day), using the paper alone. That proved to be more difficult than expected and I had to relent and take a peak at existing implementations to fill in some important gaps. I've documented my struggles and learnings in the README for others to benefit from. I also wanted to solidify my understanding of…

Faster R-CNN object detector implemented in PyTorch and TensorFlow 2 launched on January 28, 2022 with 15 votes, #1,006 of 2,891 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 4 years on.

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In plain words

This software provides implementations of Faster R-CNN, a foundational object detection model, in both PyTorch and TensorFlow 2/Keras. Built by a developer learning the architecture from the original research paper, it includes detailed documentation of implementation challenges and solutions. The project serves researchers and developers studying object detection, offering clean code examples in two popular machine learning frameworks to understand how this model works and why certain design decisions matter.

written from the facts on this page · September 2026

From the sources

Clean and readable implementations of Faster R-CNN in PyTorch and TensorFlow 2 with Keras. - trzy/FasterRCNN

In the maker’s words, at launch

Fresh and (I think) clean implementations of Faster R-CNN in PyTorch and TensorFlow 2/Keras. I wanted to learn about object detectors and decided to understand and implement a foundational model in the field, Faster R-CNN (elements of which are still used in modern models to this day), using the paper alone.…

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