AIbase
Home
AI Tutorial

industrial-image-anomaly-detection

Public

Zero and few-shot industrial image anomaly detection framework comparing AnomalyDINO & MuSc models across MVTec AD, BTAD, and ViSA datasets with MLflow tracking and flexible configuration.

anomaly-detectionanomalydinocomputer-visiondefect-detectionfew-shot-learninghydraindustrial-aimlflowmuscpytorch
Creat：2025-07-05T07:24:45
Update：2025-08-05T18:07:43
3
Stars
0
Stars Increase

Related projects

Computer Science

Hot
awesome-list

? Path to a free self-taught education in Computer Science!

198852
10个月前
+153today

Opencv

c-plus-plus

Open Source Computer Vision Library

85202
7年前
+42today

D2l Zh

Hot
book

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

74277
10个月前
+60today

Cs Video Courses

Hot
algorithms

List of Computer Science courses with video lectures.

70343
10个月前
+91today

Awesome Scalability

Hot
architecture

The Patterns of Scalable, Reliable, and Performant Large-Scale Systems

67088
10个月前
+52today

Awesome Courses

Hot
awesome

:books: List of awesome university courses for learning Computer Science!

64946
10个月前
+70today

Yolov5

coreml

YOLOv5 ? in PyTorch > ONNX > CoreML > TFLite

56301
1年前
+25today

AI For Beginners

ai

12 Weeks, 24 Lessons, AI for All!

44127
10个月前
+44today

Pytorch Image Models

augmix

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

35969
10个月前
+24today

Caffe

deep-learning

Caffe: a fast open framework for deep learning.

34764
10个月前
+5today