KevinMuyaoGuo / yolov5s_for_satellite_imageryLinks
基于YOLOv5的卫星图像目标检测demo | A demo for satellite imagery object detection based on YOLOv5
☆230Updated 5 years ago
Alternatives and similar repositories for yolov5s_for_satellite_imagery
Users that are interested in yolov5s_for_satellite_imagery are comparing it to the libraries listed below
Sorting:
- 以Swin Transformer作为骨干网络的YoloX目标检测项目☆83Updated 3 years ago
- YOLOV5 小目标检测修改版☆198Updated 4 years ago
- Trans DOTA OBB format(poly format) to YOLO format.☆219Updated 4 years ago
- DOTA database training with yolo | 基于DOTA数据集的yolo训练☆63Updated 5 years ago
- 在YOLOv7的基础上使用KLD损失修改为旋转目标检测yolov7-obb☆188Updated 2 years ago
- Official code for "Tiny Object Detection in Aerial Images".☆245Updated last year
- ☆80Updated 4 years ago
- 针对不同旋转矩形框标签格式的转换(txt和xml)☆78Updated 4 years ago
- 🌟Change the world, it will become a better place. | 以科研和竞赛为导向的最好的YOLO实践框架!☆240Updated last year
- YOLOv7+KLD☆39Updated 2 years ago
- 对VOC数据集进行数据增强☆24Updated 3 years ago
- 目标检测数据集制作:VOC,COCO,YOLO等常用数据集格式的制作和互相转换脚本☆469Updated 4 years ago
- 一个修改YOLOv5以使用SwinTransformer模块的代码仓库。A repository that modifies YOLOv5 to use various SwinTransformer blocks.☆119Updated 2 months ago
- 这里面存放了一些目标检测算法的数据增强方法。如mosaic、mixup。☆171Updated 3 years ago
- 将DOTA数据集制作成VOC格式,包含类别选择,图片分割,标签抓取,txt2xml,重命名,索引制作等六个步骤。☆18Updated 4 years ago
- 这是一个retinanet-pytorch的源码,可以用于训练自己的模型。☆195Updated 2 years ago
- Pytorch implementation of the 'Slim-neck by GSConv: a lightweight-design for real-time detector architectures'☆240Updated 3 months ago
- ☆106Updated 3 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☆135Updated 5 years ago
- I tried to apply the CAM algorithm to YOLOv4 and it worked.☆61Updated 4 years ago
- Fair comparison of different algorithms on the HRSC2016 dataset.☆83Updated last year
- rotation detection based on yolov5☆378Updated 2 years ago
- 这是一个yolact-pytorch的库,可用于训练自己的数据集☆82Updated 2 years ago
- ☆202Updated last year
- KLD实现旋转目标检测☆48Updated 3 years ago
- ☆138Updated 3 years ago
- ☆29Updated 3 years ago
- Support data enhancement when there are few data sets(支持数据集较少的情况进行数据增强,包含随机的多种变化)☆45Updated 3 years ago
- 这是一个efficientdet-pytorch的源码,可以用于训练自己的模型。☆330Updated 2 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☆46Updated 9 months ago