XiangqianMa / Kaggle-Steel-Defect-Detection
Code of kaggle semantic segmentation competition: Steel Defect Detection.
☆23Updated 2 years ago
Alternatives and similar repositories for Kaggle-Steel-Defect-Detection:
Users that are interested in Kaggle-Steel-Defect-Detection are comparing it to the libraries listed below
- YOLO系列资料☆50Updated 2 years ago
- YOLOv3 detector with quadrangle in PyTorch☆89Updated 5 years ago
- a data augment tool for object detection☆90Updated 6 years ago
- ☆71Updated 7 months ago
- This is a deep learning application project in the industrial field, intended to detect defects on the workpiece surface. The code is bas…☆80Updated 4 years ago
- To augment image dataset for detection☆58Updated 5 years ago
- Segmentation-Based Deep-Learning Approach for Surface-Defect Detection☆25Updated 4 years ago
- ☆62Updated 4 years ago
- Commonly ulits in deep learning.☆30Updated 3 years ago
- Hybrid_Task_Cascade in mmdetection☆20Updated 5 years ago
- Simple implementation of augmentation for small object detection☆219Updated 4 years ago
- Detection_Augmentation☆25Updated 2 years ago
- YOLOX in DOTA with KLD loss. (Oriented Object Detection)（Rotated BBox）基于YOLOX的旋转目标检测☆75Updated 3 years ago
- Instance Segmentation, TensorMask☆51Updated 5 years ago
- my_custom_mmdetection☆58Updated 4 years ago
- 针对不同旋转矩形框标签格式的转换(txt和xml)☆75Updated 3 years ago
- Tips on how to find suitable object detection anchors☆144Updated 4 years ago
- mmdetection in python训练， libtorch in c++部署☆12Updated 4 years ago
- operate the xml files in the VOC dataset☆11Updated 5 years ago
- Scaled-YOLOv4训练自己的数据集详细教程PDF，关于paper解读请联系小编获取PDF文档☆73Updated 3 years ago
- ACCV Fine-grained recognition code☆58Updated 3 years ago
- 基于pytorch版ssd进行改进注入CBAM空间通道注意力机制，加入FPN，类别损失函数改为focalloss☆39Updated 3 years ago
- This repo supports Faster R-CNN, FPN and Cascade Faster R-CNN based on pyTorch 1.0. Additionally deformable convolutional layer is also s…☆51Updated 4 years ago
- Pytorch复现YOLOv3，使用最新的DIOU loss训练☆69Updated 4 years ago
- This repo primarily targets to help those who needs to compute anchors to customer dataset in object detection.☆80Updated 4 years ago
- see details in configs/retinanet_se154_fpn_1x.py☆38Updated 5 years ago
- ☆106Updated 3 years ago
- ☆27Updated 4 years ago
- Train Your Own DataSet for YOLACT and YOLACT++ Instance Segmentation Model!!!☆63Updated 4 years ago
- 鉴于该 填鸭式 方法对小目标的数据增强的详细的描述较少，故重新整理了代码，并添加了说明。按照md文件的说明，应该可以正常的运行☆47Updated 3 years ago