Full_anomaly_detection Computer Vision Project

feature extraction

Updated a month ago

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Description

This dataset was created to be used for a YOLO-based Fire Detection Model, particularly in an indoor setting.

Images are in 416x416 format without any data augmentation/transformation.

Notes:

  • Class '0' = 'fire' Some images weren't annotated properly but the bounding boxes box fires.

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Cite This Project

LICENSE
CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            full_anomaly_detection_dataset,
                            title = { Full_anomaly_detection Dataset },
                            type = { Open Source Dataset },
                            author = { feature extraction },
                            howpublished = { \url{ https://universe.roboflow.com/feature-extraction/full_anomaly_detection } },
                            url = { https://universe.roboflow.com/feature-extraction/full_anomaly_detection },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { oct },
                            note = { visited on 2024-11-05 },
                            }