brijml / xcaliber-task
This project was undertaken as a part of evaluation process at Xcaliber Infotech while I was interviewing there
☆13Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for xcaliber-task
- A Deep Residual U-Net like architecture for Crack segmentation in concrete structures.☆9Updated 4 years ago
- Multiscale Attention Based Efficient U-Net for Crack Segmentation, segments a RGB image into 2 classes crack and non-crack, this method o…☆36Updated 2 years ago
- CarNet is a fast pavement crack detector which achieves excellent accuracy.☆14Updated last year
- Road crack detection project based on NestedUnet model☆17Updated 2 years ago
- This project contains our three crack detection datasets,i.e., Sun520, Rain365, and BJN260.☆12Updated last year
- DAUNet: Deep Augmented Neural Network for Pavement Crack Segmentation☆16Updated last year
- Concrete crack pixel semantic dataset☆9Updated 5 years ago
- Repo for ICPR2020 paper "Crack Detection as a Weakly-Supervised Problem: Towards Achieving Less Annotation-Intensive Crack Detectors"☆18Updated 3 years ago
- ☆34Updated last year
- crack segmentation☆14Updated 2 years ago
- Python UNET implementation on the problem of concrete crack detection and critical width location☆21Updated 3 years ago
- PyTorch implementation for Semantic Segmentation, include FCN, U-Net, SegNet, GCN, PSPNet, Deeplabv3, Deeplabv3+, Mask R-CNN, DUC, Google…☆54Updated 5 months ago
- A Unet based modified architecture for crack detection☆37Updated 4 years ago
- The project uses Unet-based improved networks to study road crack segmentation, which is based on keras.☆43Updated 5 years ago
- ☆61Updated 6 years ago
- Pavement surface crack datasets for DL based crack detection☆58Updated 2 years ago
- Our industrial project is on 'Intelligent Road Crack Detection using Deep Learning' where we create an artificial intelligence (AI) syste…☆23Updated 4 years ago
- ⚡EDRNet:Encoder-Decoder Residual Network for Salient Object Detection of Strip Steel Surface Defects☆49Updated 3 years ago
- An application FCN for crack recogntion using tensorflow☆46Updated 6 years ago
- This repo contains customized deep learning models for segmenting cracks.☆50Updated 3 years ago
- Official code for ICIP 2023 paper "A Convolutional-Transformer Network for Crack Segmentation with Boundary Awareness"☆32Updated 2 months ago
- [ECCV W 2022] "CrackSeg9k: A Collection and Benchmark for Crack Segmentation Datasets and Frameworks" by Shreyas Kulkarni, Shreyas Singh,…☆51Updated 4 months ago
- A method to calculate the width of a binary image as described in:☆21Updated last year
- The dataset consists of 600 images about pavement cracks taken from roads in Edmonton Canada. They are all annotated at pixel level for c…☆28Updated 4 years ago
- Due to the irregular shapes,various sizes and indistinguishable boundaries between the normal and infected tissues, it is still a challen…☆15Updated 2 years ago
- Real-time High-Resolution Neural Network with Semantic Guidance for Crack Segmentation☆49Updated 8 months ago
- Image segmentation Using Various Fuzzy C-means Algorithms (FCM, EnFCM, MFCM).☆52Updated 2 months ago
- Binary semantic segmentation of the blowhole_crack and free datasets.☆14Updated 2 years ago
- Superpixel-based Graph Convolutional Network for Semantic Segmentation☆31Updated last year
- BMVC 2021 Oral: code for BI-GCN: Boundary-Aware Input-Dependent Graph Convolution for Biomedical Image Segmentation☆28Updated 2 years ago