sshkhr / BigDataCup18_Submission
This repository contains code and trained models for our submission to the IEEE BigData Cup 2018 and the related paper 'Road Damage Detection And Classification In Smartphone Captured Images Using Mask R-CNN'
☆17Updated 6 years ago
Alternatives and similar repositories for BigDataCup18_Submission:
Users that are interested in BigDataCup18_Submission are comparing it to the libraries listed below
- Road Damage Detection and Classification with Faster R-CNN (BigData 2018)☆23Updated 6 years ago
- ☆9Updated 6 years ago
- ☆33Updated 6 years ago
- Keeping roads in a good condition is vital to safe driving. To monitor the degradation of road conditions is one of the important compone…☆23Updated 6 years ago
- Road Damage Detection Challenge (IEEE Big Data Cup 2020)☆22Updated 3 years ago
- IDV Segmentation Example This is an example showing the use of Mask RCNN in a real application. We train the model to detect Idly Vada Do…☆10Updated 6 years ago
- To develop a object detection system for aerial data☆26Updated 6 years ago
- The project uses Unet-based improved networks to study road crack segmentation, which is based on keras.☆43Updated 5 years ago
- Convert any classification model or architecture trained in keras to an object detection model☆30Updated 6 years ago
- JordanMicahBennett / Smart-Ai-Pothole-Detector------Powered-by-Tensorflow-TensorRT-on-Google-Colab-and-or-Jetson-NanoSmart (Ai) Pothole Detector (By Jordan Bennett)☆91Updated 4 years ago
- Keras BiseNet architecture implementation☆55Updated 2 years ago
- ☆39Updated 4 years ago
- How to train an object detection model with mmdetection☆73Updated 2 years ago
- Automatic Defect Inspection with End-to-End Deep Learning☆32Updated 5 years ago
- Matterport's Mask R-CNN library (Added Ship Detection sample) for object detection and instance segmentation on Keras and TensorFlow☆98Updated 6 years ago
- Implementation of Improving the Efficiency of Encoder-Decoder Architecture for Pixel-level Crack Detection. keras with tensorflow backen…☆11Updated 5 years ago
- Smoke detection via semantic segmentation using Baseline U-Net model & LinkNet and image augmentation☆80Updated 4 years ago
- an oriented bounding boxes implement of YOLOv3☆25Updated 4 years ago
- It is intended to detect damage to road images taken by a camera. For this, deep learning technology, a subspace of machine learning, and…☆19Updated 5 years ago
- A convolutional neural network built using keras to detect cracks on road with 97.5% accuracy.☆43Updated 4 years ago
- This project combines the knowledge of computer vision techniques and deep learning architectures to build a facial keypoint detection sy…☆30Updated 3 years ago
- All in one cracks segmentation dataset()☆35Updated 6 years ago
- Oriented SSD for "Kaggle Airbus Ship Detection Challenge"☆86Updated 6 years ago
- Colab (Jupyter) notebook to train Object Detection model with custom dataset, based on Fizyr implementation of RetinaNet in Keras.☆40Updated 5 years ago
- This script performs K-means Clustering on the Berkeley Deep Drive dataset to find the appropriate anchor boxes for YOLOv3. Originally it…☆32Updated 3 years ago
- Keras implementation of LinkNet☆27Updated 6 years ago
- A Labelme to Data Augmentation to Mask R-CNN or YOLO v3 pipeline for small dataset.☆16Updated 5 years ago
- This is a deep learning model for detecting the potholes on roads. The model is using YOLO-v2.☆83Updated last year
- Mask R-CNN, FPN, LinkNet, PSPNet and UNet with multiple backbone architectures support readily available☆64Updated 5 years ago
- Semantic Segmentation in road surfaces, considering different pattern like asphalt, unpaved, potholes, etc.☆54Updated 4 years ago