cqfdch / TT100K_to_VOC
将TT100K数据集转成VOC格式,并且用Python脚本选出45类超过100张的图片和XML
☆21Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for TT100K_to_VOC
- Yolov5 distillation training | Yolov5知识蒸馏训练,支持训练 自己的数据☆208Updated 2 years ago
- ☆76Updated 3 years ago
- 实现对YOLOX的剪枝操作,添加了卷积层和BN层融合推理,添加中间层可视化功能,可实现预测和训练日志保存☆42Updated last year
- 这是一个efficientnet-yolo3-pytorch的源码,将yolov3的主干特征提取网络修改成了efficientnet☆144Updated last year
- Multi-backbone, Prune, Quantization, KD☆154Updated 2 years ago
- 这是一个efficientdet-pytorch的源码,可以用于训练自己的模型。☆309Updated last year
- ☆106Updated 2 years ago
- yolov5 5.0 version distillation || yolov5 5.0版本知识蒸馏,yolov5l >> yolov5s☆155Updated 3 years ago
- Pytorch implementation of the 'Slim-neck by GSConv: a lightweight-design for real-time detector architectures'☆197Updated last month
- annotations of yolov5-5.0☆231Updated 2 years ago
- 这是一个mobilenet-yolov4的库,把yolov4主干网络修改成了mobilenet,修改了Panet的卷积组成,使参数量大幅度缩小。☆367Updated last year
- ☆68Updated 3 years ago
- 这是一个retinanet-pytorch的源码,可以用于训练自己的模型。☆178Updated last year
- 这是一个centernet-pytorch的源码,可以用于训练自己的模型。☆367Updated last year
- ☁️💡🎈专注于改进YOLOv7,Support to improve Backbone, Neck, Head, Loss, IoU, NMS and other modules☆199Updated 6 months ago
- Prepare VOC format datasets for ultralytics/yolov3 & yolov5☆196Updated last year
- ☆91Updated 2 years ago
- ☆554Updated 2 years ago
- ☆135Updated 2 years ago
- yolov5 prune,Support V2, V3, V4 and V6 versions of yolov5☆563Updated 2 years ago
- YOLOv5的轻量化改进(蜂巢检测项目)☆70Updated 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
- An unofficial implementation of Pytorch version PP-YOLOE,based on Megvii YOLOX training code.☆181Updated 2 years ago
- ☆62Updated 3 years 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。☆152Updated last year
- yolov5目标检测模型的知识蒸馏(基于响应的蒸馏)☆93Updated 3 years ago
- ☆307Updated last year
- Learning YOLOv3 from scratch 从零开始学习YOLOv3代码☆211Updated 2 years ago
- ☆26Updated 3 years ago
- Trans DOTA OBB format(poly format) to YOLO format.☆198Updated 3 years ago