OpenMMLab Detection Toolbox and Benchmark

pytorch fast-rcnn transformer yolo ssd faster-rcnn object-detection glip instance-segmentation mask-rcnn retinanet semisupervised-learning panoptic-segmentation cascade-rcnn detr vision-transformer swin-transformer convnext rtmdet grounding-dino

• Updated Aug 21, 2024
• Python

A-Fast-RCNN (CVPR 2017)

caffe fast-rcnn object-detection adversarial-networks

• Updated Jan 29, 2018
• Python

My implementation of Fast-RCNN （tensorflow）

tensorflow python3 fast-rcnn fastrcnn

• Updated Jul 3, 2018
• Python

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

computer-vision deep-learning quadcopter cntk detection fast-rcnn rcnn

• Updated Mar 7, 2017
• Python

The repository contains multiple algorithms for 1D and 2D barcode localization proposed in different papers in the past years. The repository contains the tools to measure the performance of those algorithms

open-source benchmarking benchmark localization deep-learning cpp detection qrcode python3 pytorch fast-rcnn dataset yolo qrcodes barcodes retinanet rt-detr

• Updated Nov 25, 2025
• C++

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

python ai computer-vision deep-learning detection cv cnn torch pytorch fast-rcnn vision neural-networks faster-rcnn object-detection rcnn r-cnn faster-r-cnn torchvision fast-r-cnn

• Updated Jun 30, 2022
• HTML

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

pytorch fast-rcnn faster-rcnn

• Updated Feb 6, 2023
• Jupyter Notebook

Implementation of Fast R-CNN Algorithm

opencv cnn pytorch fast-rcnn vgg16

• Updated Mar 5, 2026
• Python

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

opencv tensorflow paper detection keras cnn fast-rcnn alexnet object-detection cnn-keras fastrcnn visual-recognition object-classification spp-layer keras-implementations colab-notebook spp-net

• Updated May 25, 2020
• Jupyter Notebook

Pedestrian Detection using Fast-R-CNN with Pytorch.

python pytorch fast-rcnn transfer-learning pedestrian-detection coco-dataset

• Updated Sep 19, 2020
• Jupyter Notebook

Implementation of Convolutional Feature Masking (CFM)

python fast-rcnn segmentation mask cfm mcg cob

• Updated Feb 26, 2018
• Python

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

python computer-vision deep-learning fast-rcnn object-detection ground-truth bounding-boxes fastrcnn rcnn multibox single-shot-multibox-detector single-shot-detection anchor-box rcnn-model multi-box single-shot-detector anchor-boxes multibox-detector positive-ground-truth-bounding-boxes

• Updated Sep 3, 2026
• Jupyter Notebook

Object classification and segmentation in images

tensorflow jupyter-notebook python3 fast-rcnn classification faster-rcnn coco segmentation rpn convolutional-neural-networks masks bounding-boxes rcnn car-detection pedestrian-detection mask-rcnn colaboratory

• Updated Dec 22, 2018
• Jupyter Notebook

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.

computer-vision tensorflow regression fast-rcnn vgg yolo classification faster-rcnn alexnet vggnet rcnn cnn-for-visual-recognition lenet-5 googlenet-inception-network

• Updated Aug 16, 2023
• Jupyter Notebook

Implemention of Fast RCNN by Tensorflow

deep-learning fast-rcnn object-detection car-detection

• Updated May 3, 2017
• Python

Tensorflow implementation of Fast R-CNN

python deep-learning tensorflow fast-rcnn object-detection paper-implementation

• Updated Sep 19, 2018
• Python

Upscale long MiniMax H3 videos on limited VRAM with temporal chunking, spatial tiling, and intact audio preservation in one node.

python docker fast-rcnn faster-rcnn object-detection mask-rcnn vision-transformer swin-transformer convnext text-to-image-generation stable-diffusion rtmdet stable-diffusion-webui sdxl image-to-video-generation

• Updated Oct 13, 2026
• Python

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.

machine-learning model-zoo pytorch fast-rcnn segmentation convolutional-neural-networks transfer-learning upsampling semantic-segmentation instance-segmentation mask-rcnn visual-computing detectron2

• Updated Jan 10, 2023
• Jupyter Notebook

Example code on how to use the fastrcnn package for torch7

fast-rcnn torch7 samplecode

• Updated Dec 5, 2017
• Lua

Object Detection and Counting

counter fast-rcnn faster-rcnn object-detection rcnn faster-rcnn-pytorch

• Updated Mar 16, 2024
• Jupyter Notebook