Alternatives and similar repositories for LabelMe

Users that are interested in LabelMe are comparing it to the libraries listed below

• Stephenfang51 / image_classification_pytorch
  Pytorch实践简单， 方便， 快速训练 图像分类模型
  ☆37Updated 3 years ago
• QianLingjun / Keras_image_aug
  Keras_image_aug，图像分割部分的图像批增强案例，具体实现方式可参照：https://blog.csdn.net/wsLJQian/article/details/88616126
  ☆21Updated 5 years ago
• LeeWise9 / Segmentation-Based-Surface-Defect-Detection
  This is a deep learning application project in the industrial field, intended to detect defects on the workpiece surface. The code is bas…
  ☆82Updated 5 years ago
• Whu-wxy / PSENet-libtorch
  Text detection network psenet deployed by libtorch and Qt.
  ☆14Updated 5 years ago
• freedom-kevin / defect_detection
  The project can be used to detect defect on the surface of textiles.
  ☆29Updated 7 years ago
• joooogle / Automatic-labeling-of-instance-segmentation-Mask-Rcnn-in-static-background-base-on-labelme
  静态背景下实例分割数据集自动标注工具，基于Labelme改进。可以自动生成labelme格式的json文件。(注意：本程序只适用于大量图片基于静态背景)原理是：背景减除后得到高质量的二值图，计算连通域外轮廓坐标，再将信息写入json文件。
  ☆13Updated 6 years ago
• hpc203 / rotate-yolov5-opencv-onnxrun
  分别使用OpenCV、ONNXRuntime部署yolov5旋转目标检测，包含C++和Python两个版本的程序
  ☆61Updated 3 years ago
• qianqing13579 / DetectorSamples
  OpenCV加载onnx实现SSD,YOLOV3,YOLOV5的推理
  ☆24Updated 3 years ago
• XiangqianMa / Kaggle-Steel-Defect-Detection
  Code of kaggle semantic segmentation competition: Steel Defect Detection.
  ☆23Updated 3 years ago
• kivenyangming / yolo-bubbliiiing-onnx
  为bubbliiiing的yolo系列代码进行onnx部署（C++）,目前已完美适配yolov4>>yolov5>>yolov5-6.1>>yolov7
  ☆13Updated 2 years ago
• TSjianjiao / Defect-Detection-with-tensorflow
  👷胶囊表面缺陷检测withTensorflow，主要检测了凹陷和缺失部分，涉及到GPU加速
  ☆119Updated 4 years ago
• mishra2611 / SurfaceDefectDetection-using-Machine-Vision
  ☆17Updated 6 years ago
• A-mockingbird / VOCxml_operator
  operate the xml files in the VOC dataset
  ☆11Updated 6 years ago
• zacario-li / Segmentation-based-deep-learning-approach-for-surface-defect-detection
  Segmentation-based deep-learning approach for surface-defect detection with pytorch
  ☆25Updated 6 months ago
• 2585157341 / RFBNet-master_Chinese_note
  对https://github.com/ruinmessi/RFBNet 代码做中文注释,便于理解
  ☆20Updated 6 years ago
• guiyang882 / TinyObject
  对于小目标的检测和识别
  ☆27Updated 6 years ago
• lixiang007666 / segmentation-learning-experiment-pytorch
  基于Pytorch实现优秀的自然图像分割框架！(包括FCN、U-Net和Deeplab)
  ☆66Updated 3 years ago
• shuyucool / Labelme
  automatic tagging data, the training data prepare for mask-rcnn
  ☆98Updated 6 years ago
• Eric3911 / yolov3-mobilenet-v1
  ☆19Updated 4 years ago
• root12321 / Rotation-Detect-yolov5_poly
  ☆72Updated last year
• Xavierman / A-Deep-Learning-Based-Approach-For-Fast-And-Robust-Steel-Surface-Defects-Classification
  ☆24Updated 6 years ago
• CristinaMa0917 / Defects_Detection_MaskRCNN
  Detect mainly three kinds of defects on chips,which are bump,dent and dot at pixel level.
  ☆19Updated 6 years ago
• Liang-yc / lgp_mura_detector
  导光板缺陷检测(a simple mura detect project)
  ☆18Updated 7 years ago
• wangbinglin1995 / tianchi
  tianchi 天池 广东工业智造算法赛 广东工业智造大数据创新算法赛 铝材表面瑕疵检测
  ☆21Updated 6 years ago
• skokec / segdec-net-jim2019
  Surface Defect Detection with Segmentation-Decision Network on KolektorSDD
  ☆138Updated 4 years ago
• ShuaiLYU / A_surface_defect_detection_based_on_positive_samples
  generate randomly defects on positive samples and restore them with GAN.
  ☆40Updated 4 years ago
• softroadeast / Capsule-defect-detection
  vs2013，opencv2.4.9
  ☆11Updated 7 years ago
• dyh / opencv_tools
  一键预览 OpenCV 60 种图像效果，图像预处理 pipeline 工具
  ☆92Updated 4 years ago
• mengcius / Surface-Defect-Detection
  Segmentation-Based Deep-Learning Approach for Surface-Defect Detection
  ☆26Updated 4 years ago
• wavce / cv_papers
  计算机视觉方面的分类、对象检测、图像分割、人脸检测、OCR等中文翻译
  ☆113Updated 3 years ago