{"id":13644854,"url":"https://github.com/gaiasd/DFireDataset","last_synced_at":"2025-04-21T10:34:40.559Z","repository":{"id":45518441,"uuid":"202418694","full_name":"gaiasd/DFireDataset","owner":"gaiasd","description":"D-Fire: an image data set for fire and smoke detection.","archived":false,"fork":false,"pushed_at":"2023-02-13T16:12:26.000Z","size":65,"stargazers_count":214,"open_issues_count":0,"forks_count":27,"subscribers_count":5,"default_branch":"master","last_synced_at":"2025-01-28T20:27:45.222Z","etag":null,"topics":["computer-vision","dataset","fire-detection","smoke-detection","yolo"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/gaiasd.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2019-08-14T20:08:10.000Z","updated_at":"2025-01-25T02:41:35.000Z","dependencies_parsed_at":"2023-02-09T04:01:21.041Z","dependency_job_id":"d7b78aee-8a55-4b51-a465-22609edcc690","html_url":"https://github.com/gaiasd/DFireDataset","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gaiasd%2FDFireDataset","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gaiasd%2FDFireDataset/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gaiasd%2FDFireDataset/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gaiasd%2FDFireDataset/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/gaiasd","download_url":"https://codeload.github.com/gaiasd/DFireDataset/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":250040911,"owners_count":21365180,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["computer-vision","dataset","fire-detection","smoke-detection","yolo"],"created_at":"2024-08-02T01:02:16.299Z","updated_at":"2025-04-21T10:34:35.539Z","avatar_url":"https://github.com/gaiasd.png","language":"Python","funding_links":[],"categories":["Object Detection Applications"],"sub_categories":[],"readme":"#  D-Fire: an image dataset for fire and smoke detection\n\n**Authors:** Researchers from Gaia, solutions on demand ([GAIA](https://www.gaiasd.com/))\n\n## About\n\nD-Fire is an image dataset of fire and smoke occurrences designed for machine learning and object detection algorithms with more than 21,000 images.\n\n\u003cdiv align=\"center\"\u003e\n\u003ctable\u003e\n  \u003ctr\u003e\n    \u003cth\u003eNumber of images\u003c/th\u003e\n    \u003cth\u003eNumber of bounding boxes\u003c/th\u003e\n  \u003c/tr\u003e\n \n  \u003ctr\u003e\u003ctd\u003e\n\n  | Category | # Images |\n  | ------------- | ------------- |\n  | Only fire  | 1,164  |\n  | Only smoke  | 5,867  |\n  | Fire and smoke  | 4,658  |\n  | None  | 9,838  |\n\n  \u003c/td\u003e\u003ctd\u003e\n\n  | Class | # Bounding boxes |\n  | ------------- | ------------- |\n  | Fire  | 14,692 |\n  | Smoke  | 11,865 |\n\n  \u003c/td\u003e\u003c/tr\u003e \n\u003c/table\u003e\n\u003c/div\u003e\n\nAll images were annotated according to the YOLO format (normalized coordinates between 0 and 1). \nHowever, we provide the yolo2pixel function that converts coordinates in YOLO format to coordinates in pixels.\n\n***\n\n## Examples\n\n\u003cdiv align=\"center\"\u003e\n    \u003cimg src=\"https://lh3.googleusercontent.com/pw/AL9nZEUAI1XO1nuK0XmTSxd01nma6VZkZJ5Jrnj_qIvhqe1uxziYXmTnO5GLAFEdyric37YHGLersFbnZOZ1UQ5nOX057Kgze4d8d-fdX34O9972BnUI4n4zLt8_Lw0nm03cp8qqLX-72VRUHzMf01j-8XvtYg=s721-no\" width=\"600\"\u003c/img\u003e \n\u003c/div\u003e\n\n## Download\n\n* [D-Fire dataset (only images and labels)](https://drive.google.com/drive/folders/1DWgsQLVgkkLM8m-VcugHNpD5WYDbjYp5?usp=sharing).\n* [Training, validation and test sets](https://drive.google.com/drive/folders/1Np_FC3MuuFJgV-z0FmZwS9YzsTKdyRGJ?usp=sharing).\n* [Some surveillance videos](https://drive.google.com/drive/folders/1P5TNDP7ZrWpIZ4v_Aav5hf3S9UII2ZKA?usp=sharing). \n* [Some models trained with the D-Fire dataset](https://github.com/pedbrgs/Fire-Detection).\n* For more surveillance videos, request your registration on our environmental monitoring website [\"Apaga o Fogo!\" (Put out the Fire!)](https://apagaofogo.eco.br/).\n\n## Citation\n\nPlease cite the following paper if you use our image database:\n\n- \u003cp align=\"justify\"\u003ePedro Vinícius Almeida Borges de Venâncio, Adriano Chaves Lisboa, Adriano Vilela Barbosa: \u003ca href=\"https://link.springer.com/article/10.1007/s00521-022-07467-z\"\u003e An automatic fire detection system based on deep convolutional neural networks for low-power, resource-constrained devices. \u003c/a\u003e In: Neural Computing and Applications, 2022.\u003c/p\u003e\n\nIf you use our surveillance videos, please cite the following paper:\n- \u003cp align=\"justify\"\u003e\u003cb\u003ePedro Vinícius Almeida Borges de Venâncio\u003c/b\u003e, Roger Júnio Campos, Tamires Martins Rezende, Adriano Chaves Lisboa, Adriano Vilela Barbosa: \u003ca href=\"https://link.springer.com/article/10.1007/s00521-023-08260-2\"\u003e A hybrid method for fire detection based on spatial and temporal patterns. \u003c/a\u003e In: Neural Computing and Applications, 2023.\u003c/p\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgaiasd%2FDFireDataset","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgaiasd%2FDFireDataset","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgaiasd%2FDFireDataset/lists"}