Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding b…

Most popular metrics used to evaluate object detection algorithms.

Official code of ICCV2021 paper "Residual Attention: A Simple but Effective Method for Multi-Label Recognition"

An official implementation of "Learning Memory-guided Normality for Anomaly Detection" (CVPR 2020) in PyTorch.

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explana…

Official code for AAAI2023 paper "Dual Memory Units with Uncertainty Regulation for Weakly Supervised Video Anomaly Detection"

Official code for "Diversity-Measurable Anomaly Detection", CVPR 2023 by Wenrui Liu, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin Chen.

pytorch implementation for Contrastive Adaptation Network

DreamArtist for Stable-Diffusion-webui extension

[AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.

This is an unofficial implementation of the paper "Towards Total Recall in Industrial Anomaly Detection".

It's like undelete for your git repository.

Sample source for the 2022 Japanese edition of Everyday Rails Testing with RSpec.

List of top 500 ReactJS Interview Questions & Answers....Coding exercise questions are coming soon!!

[VIS 22] An Interactive Interpretability System for Breast Cancer Screening with Deep Learning

Student–Teacher Anomaly Detection with Discriminative Latent Embeddings

This repository contains code from our comparative study on state of the art unsupervised pathology detection and segmentation methods.

PFM and PEFM for Image Anomaly Detection and Segmentation

Configs and boilerplates for Label Studio's Machine Learning backend

结合 mmdetection 、 label studio 实现数据集自动标注、模型自动迭代的 AI 闭环

uses Lightly and Label Studio to performa a complete AL workflow from dataset scraping to usage

Create training data labels from a production model with Modzy, Dropbox, and Label Studio

a web application performance improvement training

Pipeline training and inference Anomalib models UI in Anomaly Detection