Detection
cocoanomaly-detection
On-board Anomaly Detection for Marine Environmental Monitoring — PhiSat-2 Database 2025
This folder contains data (images, metadata, and segmentation masks) used to train and test the marine anomaly detection application developed by the IRMA team at IRT Saint Exupéry for the PhiSat-2 OrbitalAI challenge.
Description
This dataset contains images generated from Sentinel-2 satellite data using the ESA simulator, designed to replicate the characteristics of the… See the full description on the dataset page: https://huggingface.co/datasets/sirbastiano94/anomaly-detection.mvtec_anomaly_detectionritvij-saxena-iris-detection-pythonHere is the IRIS dataset for the project iris-detection-python.
Official Statement
I hereby declare that I do not own the rights to the dataset used in this project. This dataset was provided by the faculty and utilized solely for educational purposes as part of an assignment for the Biometrics course (CS 559) at the Illinois Institute of Technology.
The dataset is provided for academic and research purposes only, and I encourage others to use it responsibly for similar educational… See the full description on the dataset page: https://huggingface.co/datasets/saxenaritvij/ritvij-saxena-iris-detection-python.visa-anomaly-detection
VisA — Visual Anomaly Dataset
Mirror of the VisA (Visual Anomaly) dataset for research use. Staged as a proxy/pretraining
dataset for CoRe's Situational Control paint-inspection work (core-lab/situational-control).
Source
Original repo: https://github.com/amazon-science/spot-diff
Original download: https://amazon-visual-anomaly.s3.us-west-2.amazonaws.com/VisA_20220922.tar
License: CC BY 4.0 (confirmed in the source repo README)
Contents
10,821… See the full description on the dataset page: https://huggingface.co/datasets/imaadd05/visa-anomaly-detection.Obstacle-Detection-Dataset-YOLO
ROD-Dataset: Real-Time Obstacle Detection for Smartphone-Based Assistive Vision
24,326-image, 25-class YOLO dataset for obstacle detection
This dataset is the data product of our Real-Time Obstacle Detection (ROD) project at Amirkabir University of Technology, Tehran. The project addresses two related public-safety problems on the city sidewalk: the limited situational awareness of people living with visual impairments, and the elevated collision and fall risk for pedestrians… See the full description on the dataset page: https://huggingface.co/datasets/Abtinzandi/Obstacle-Detection-Dataset-YOLO.