smallcorgi/Faster-RCNN_TF
TensorFlow implementation of Faster R-CNN, a deep learning object detection model with region proposal network.
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This repository provides a TensorFlow implementation of Faster R-CNN, a convolutional neural network architecture for object detection. The model uses a region proposal network (RPN) to generate candidate bounding boxes, which are then classified and refined. It includes training scripts, a demo for running inference on images, and supports the VGG16 backbone network. The model was trained on PASCAL VOC 2007 dataset.
Frequently asked
- What is smallcorgi/Faster-RCNN_TF?
- TensorFlow implementation of Faster R-CNN, a deep learning object detection model with region proposal network.
- Is Faster-RCNN_TF open source?
- Yes — smallcorgi/Faster-RCNN_TF is open source, released under the MIT license.
- What language is Faster-RCNN_TF written in?
- smallcorgi/Faster-RCNN_TF is primarily written in Python.
- How popular is Faster-RCNN_TF?
- smallcorgi/Faster-RCNN_TF has 2.3k stars on GitHub.
- Where can I find Faster-RCNN_TF?
- smallcorgi/Faster-RCNN_TF is on GitHub at https://github.com/smallcorgi/Faster-RCNN_TF.