dongyunjinyu / 2023DIGIXLinks
2023全球校园人工智能算法精英大赛——算法挑战赛道路病害目标检测
☆12Updated 6 months ago
Alternatives and similar repositories for 2023DIGIX
Users that are interested in 2023DIGIX are comparing it to the libraries listed below
Sorting:
- 一些关于目标检测的脚本的改进思路代码,详细请看readme.md☆6,597Updated last week
- ☆323Updated last year
- 手把手带你实战 YOLOv5☆326Updated 2 years ago
- Official YOLOv8模型训练和部署☆1,115Updated 9 months ago
- 这是一个yolov8-pytorch的仓库,可以用于训练自己的数据集。☆891Updated 2 years ago
- 常见计算机视觉标注格式相互转换☆577Updated 2 years ago
- 本仓库存放的是目标检测YOLO系列的一些代码以及改进模块的代码实现,需要的小伙伴自取就可以啦~☆238Updated last year
- ☆40Updated last year
- Small Object Detection Algorithm Incorporating Swin Transformer for Tea Buds☆266Updated last year
- yolov5,yolov7,yolov8,rtdetr with pyqt implement in pytorch.☆292Updated last year
- Image augmentation for object detection, segmentation and classification☆680Updated last year
- 这是一个YoloV5-pytorch的源码,可以用于训练自己的模型。☆1,122Updated 2 years ago
- YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite☆58Updated 2 years ago
- 这是一个yolov7的库,可以用于训练自己的数据集。☆910Updated 2 years ago
- 标注自己的数据集,训练、评估、测试、部署自己的人工智能算法☆3,796Updated last year
- Self Introduction about TommyZihao☆354Updated 3 years ago
- ☆114Updated 2 years ago
- YOLOv8☆43Updated 2 years ago
- 🔥🔥🔥 专注于YOLO11,YOLOv8、TYOLOv12、YOLOv10、RT-DETR、YOLOv7、YOLOv5改进模型,Support to improve backbone, neck, head, loss, IoU, NMS and other modu…☆2,808Updated 4 months ago
- YOLO SHOW - YOLOv11 / YOLOv10 / YOLOv9 / YOLOv8 / YOLOv7 / YOLOv5 / RTDETR / SAM / MobileSAM / FastSAM YOLO GUI based on Pyside6☆491Updated 6 months ago
- ☆72Updated last year
- YOLOv8汉化版,详细中文教程☆28Updated 2 years ago
- ☆241Updated 2 months ago
- ☆47Updated 2 years ago
- 对YOLO格式的数据实现数据增强,减少标注的工作量☆60Updated 6 months ago
- PyQt5 implementation of YOLOv5 GUI☆1,497Updated 11 months ago
- 🔥🔥🔥 专注于YOLO改进模型,Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀☆288Updated 7 months ago
- 这是一个yolox-pytorch的源码,可以用于训练自己的模型。☆933Updated 2 years ago
- Object Detection and YOLOV7-AC☆28Updated last year
- Jupyter notebook tutorials for MMSegmentation☆653Updated last year