(最先进的缺陷检测网络) A Tensorflow implementation of "Segmentation-Based Deep-Learning Approach for Surface-Defect Detection"
Code for 'PolarMask: Single Shot Instance Segmentation with Polar Representation'
利用YOLOv3结合行人重识别模型,实现行人的检测识别,查找特定行人
Minimal PyTorch implementation of YOLACT.
:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images
M2Det implementation using TensorFlow
M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network
High-Performance Face Recognition Library on PyTorch
The world's simplest facial recognition api for Python and the command line
The project can be used to detect defect on the surface of textiles.
Can you detect and classify defects in steel? Segmentation in Pytorch
Detect and classify defects in steels
A MNIST-like fashion product database. Benchmark :point_right:
Real-World Masked Face Dataset,口罩人脸数据集
Semantic Segmentation Architectures Implemented in PyTorch
A PyTorch implementation of the YOLO v3 object detection algorithm
COCO API - Dataset @ http://cocodataset.org/