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MNFI-Net：Multi-scale neighborhood feature interaction network for photovoltaic cell defect detection
An innovative AI-driven tool designed to identify solar panels in satellite imagery. Utilizing the state-of-the-art YOLOv8 object-detection model and various cutting-edge technologies
Automatic detection of defected solar panel modules
Trans DOTA OBB format(poly format) to YOLO format.
deep learning for image processing including classification and object-detection etc.
Revisions and implementations of modern Convolutional Neural Networks architectures in TensorFlow and Keras
Code from "A Comparative Evaluation of Deep Learning Techniques for Photovoltaic Panel Detection from Aerial Images"
Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。
A Collection of Papers and Codes for CVPR2025/CVPR2024/CVPR2021/CVPR2020 Low Level Vision
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~
🔥🔥🔥 专注于YOLO改进模型，Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀
一些关于目标检测的脚本的改进思路代码，详细请看readme.md
以Swin Transformer作为骨干网络的YoloX目标检测项目
🔥🔥🔥 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 modules🚀
More readable and flexible yolov5 with more backbone(gcn, resnet, shufflenet, moblienet, efficientnet, hrnet, swin-transformer, etc) and (cbam，dcn and so on), and tensorrt
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.
This repository contains the source code of our work on designing efficient CNNs for computer vision
Datasets, Transforms and Models specific to Computer Vision
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
A dataset of functional and defective solar cells extracted from EL images of solar modules