OpenMMLab Detection Toolbox and Benchmark

A-Fast-RCNN (CVPR 2017)

My implementation of Fast-RCNN （tensorflow）

Bounding box detection of drones (small scale quadcopters) with CNTK Fast R-CNN

Pytorch Fast R-CNN and Faster R-CNN Implementation. Uses latest PyTorch and TorchVision. No installation required.

Wildfire smoke detection with Faster R-CNN via Pytorch 🔥🚒🧑‍🚒

Implementation of Fast R-CNN Algorithm

Implementation of Spatial Pyramid Pooling (SPP-net) in Keras for object classification and detection

Pedestrian Detection using Fast-R-CNN with Pytorch.

Implementation of Convolutional Feature Masking (CFM)

Tensorflow implementation of Fast R-CNN

A simple python module to generate anchor (aka default/prior) boxes for object detection tasks.

Object classification and segmentation in images

This repository aims to provide a valuable resource for individuals interested in learning and mastering TensorFlow, an open-source machine learning framework developed by Google.

Object Detection and Counting

Implemention of Fast RCNN by Tensorflow

The goal of this project is to build a instance segmentation model that is able to detect and segment airplanes from the satelite images from the airporst around the world.

Example code on how to use the fastrcnn package for torch7

Fast R-CNN as a package for Torch7

Pedestrian detection app IMN