titanmu / RoadCrackDetection
☆113Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for RoadCrackDetection
- road damage detection challenge 2020☆275Updated 2 years ago
- Pavement surface crack datasets for DL based crack detection☆58Updated 2 years ago
- Repository for IEEE Big Data Challenge 2020 "Road Damage Detection".☆23Updated last year
- ☆341Updated 5 months ago
- ☆299Updated 7 years ago
- 针对不同旋转矩形框标签格式的转换(txt和xml)☆73Updated 3 years ago
- This is a deep learning application project in the industrial field, intended to detect defects on the workpiece surface. The code is bas…☆79Updated 4 years ago
- ☆71Updated 4 months ago
- imgaug--Bounding Boxes augment☆89Updated 5 years ago
- The project uses Unet-based improved networks to study road crack segmentation, which is based on keras.☆44Updated 5 years ago
- VOC类型数据集操作库函数☆52Updated 5 years ago
- imgaug--Bounding Boxes augment☆56Updated 4 years ago
- Open-source code for our CVPR19 paper "Meta-learning Convolutional Neural Architectures for Multi-target Concrete Defect Classification w…☆67Updated 4 years ago
- rotated bbox detection. inspired by https://github.com/hukaixuan19970627/YOLOv5_DOTA_OBB, thanks hukaixuan19970627.☆89Updated last year
- DeepCrack: A Deep Hierarchical Feature Learning Architecture for Crack Segmentation, Neurocomputing.☆219Updated last year
- 这是一个yolact-pytorch的库,可用于训练自己的数据集☆73Updated last year
- 基于YOLOv5的卫星图像目标检测demo | A demo for satellite imagery object detection based on YOLOv5☆202Updated 4 years ago
- ☆128Updated 4 years ago
- ☆106Updated 2 years ago
- Training dataset for Crack Detection☆24Updated 5 years ago
- DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection☆253Updated last year
- I tried to apply the CAM algorithm to YOLOv4 and it worked.☆59Updated 3 years ago
- Deep Learning Model for Crack Detection and Segmentation☆139Updated 4 months ago
- Simple implementation of augmentation for small object detection☆219Updated 4 years ago
- Trans DOTA OBB format(poly format) to YOLO format.☆196Updated 3 years ago
- ☆76Updated 3 years ago
- Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression (AAAI 2020)☆47Updated 2 years ago
- 本仓库主要包含了针对目标检测数据集的增强手段和源码:图像的旋转,镜像,裁剪,亮度/对比度的变换等☆129Updated 3 years ago
- 最简单的VOC转COCO, 一条指令完整转换☆82Updated 5 years ago
- Learning YOLOv3 from scratch 从零开始学习YOLOv3代码☆211Updated 2 years ago