rcnn

There are 201 repositories under rcnn topic.

  • object-detection-api

    Make it easy to train and deploy Object Detection(SSD) and Image Segmentation(Mask R-CNN) Model Using TensorFlow Object Detection API.

    Language:Jupyter Notebook23
  • Hand-Tracking-Pytorch

    Hand tracking application developed in Pytorch

    Language:Jupyter Notebook22
  • maskscoring_rcnn.detectron2

    Mask Scoring R-CNN Detectron2 ver.

    Language:Python22
  • awesome-semantic-segmentation

    awesome-semantic-segmentation - list of awesome things around semantic segmentation :tada:

  • litter-detection-tensorflow

    Object Detection algorithm trained to identify litter from Google Streets :: [CIS490 Project Management Final Project]

    Language:Jupyter Notebook22
  • MaskRCNN_Tensorflow_Docker

    MaskRCNN + Tensorflow + Docker

    Language:Vim Script22
  • Underwater-Trash-Detection

    Underwater Trash Detection

    Language:Jupyter Notebook20
  • tensorflow-text-classification

    基于tensorflow的中文文本分类(复旦中文语料)

    Language:Python20
  • CSD-detectron2

    An unofficial implementation of Consistency-Based Semi-Supervised Learning for Object Detection method in Detectron2

    Language:Python19
  • malay-fake-news-classification

    Malay Fake News Classification using CNN, BiLSTM, C-LSTM, RCNN, FT-BERT and BERTCNN.

    Language:Jupyter Notebook19
  • detection-and-analysis-of-pitting-corrosion-using-RCNN

    Research project on Detection and analysis of pitting corrosion in metals exposed to alkaline medium of varying concentration using a Fast RCNN model in collaboration with CSIR - CECRI.

    Language:Python18
  • implementation_of_RCNN

    We implement RCNN algorithm for object detection from an Images.

    Language:Jupyter Notebook17
  • Nice-object-detection-Collection

    Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

  • rcnn-text-classification-pytorch

    PyTorch implementation of "Recurrent Convolutional Neural Network for Text Classification"

    Language:Python16
  • AquaTrash

    A dataset of Trash Images for the proper waste management and protection of Aquatic Life

  • Computer-Vision

    Computer-Vision

    Find the implementation of Computer vision-based projects with Python, Deep Learning, and OpenCV

    Language:Jupyter Notebook16
  • understanding-recurrent-convolutional-neural-networks

    Using synthetically generated video data to learn how/when R-CNNs can outperform CNNs.

    Language:Jupyter Notebook16
  • TextSentimentClassification

    TextSentimentClassification, using tensorflow.

    Language:Python15
  • Scene-Labeling

    Experiments with an rCNN for scene labeling.

    Language:Python15
  • Wildfire-Smoke-Detection

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

    Language:HTML13
  • RCNN

    Recurrent Covolutional Neual Network implementation in TF2.0

    Language:Python13
  • HyperFace

    Contains the implementation of HyperFace: A deep multi task learning framework for facial recognition, landmark detection, pose and gender detection

    Language:Jupyter Notebook13
  • video_title_classification

    Video short title classification.

    Language:Python12
  • Study-OCR

    OCR 프로젝트

    Language:Jupyter Notebook10
  • clip-object-detection

    Zero-shot object detection with CLIP, utilizing Faster R-CNN for region proposals.

    Language:Jupyter Notebook9
  • text-classification

    Text Classification Models - CNN, RCNN, RNN-ATTN [PyTorch]

    Language:Python9
  • Faster-RCNN-TensorFlow-Python3.5

    Tensorflow Faster R-CNN for Windows and Python 3.5

    Language:Python9
  • image-text-recognition

    Region-based Convolutional Neural Networks for Text Label Detection in Patent Images

    Language:Python9
  • time_series_theory

    Решение задач по анализу временных рядов: детекция пиков QRS на сигналах ЭКГ с помощью ML, прогнозирование заболеваемости COVID с помощью LSTM и др.

    Language:Jupyter Notebook8
  • Detectron2

    Detectron is Facebook AI Research’s (FAIR) software system that implements state-of-the-art object detection algorithms, including Mask R-CNN. It is written in Python and powered by the Caffe2 deep learning framework. Detectron model is meant to advance object detection by offering speedy training and addressing the issues companies face when making the step from research to production.

    Language:Jupyter Notebook8
  • Paper-Evaluation-using-AI

    It is able to recognize handwritten text, uses IAM dataset for training. CNN and RCNN architectures are used for training and CTC are used to calculate the loss.

    Language:Jupyter Notebook8
  • RCNN

    Pytorch implemented R-CNN

    Language:Python8
  • physionet_2017_rcrnn

    Solving physionet2017 with RCRNN

    Language:Jupyter Notebook8
  • Lunar_Docs

    Lunar Navigation is a critical component for the success of lunar missions, a multifaceted system aims to ensure safe lunar navigation through the generation of high-resolution hazard maps, employing super-resolution methods, crater detection, crater pattern matching, and visual terrain relative navigation.

  • End-to-end-Computer-Vision

    Explore the cutting edge of computer vision with this comprehensive repository, showcasing a spectrum from classical machine learning to state-of-the-art transformer models.

    Language:Jupyter Notebook7
  • plotbbox

    A package to plot pretty bounding boxes for object detection task

    Language:Python7