{"id":17670706,"url":"https://github.com/sayannath/image-scene-classification","last_synced_at":"2025-05-12T14:25:47.666Z","repository":{"id":105050606,"uuid":"343294281","full_name":"sayannath/Image-Scene-Classification","owner":"sayannath","description":"Image-Scene-Classification with 30 different classes.","archived":false,"fork":false,"pushed_at":"2021-12-25T14:51:28.000Z","size":22744,"stargazers_count":7,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-05-12T14:25:42.459Z","etag":null,"topics":["big-transfer","bit","image-classification","keras","mobilenetv3","state-of-the-art-models","tensrflow","tflite","visual-transformer","vit"],"latest_commit_sha":null,"homepage":"https://competitions.codalab.org/competitions/28113","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/sayannath.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2021-03-01T04:52:57.000Z","updated_at":"2024-04-01T13:07:57.000Z","dependencies_parsed_at":null,"dependency_job_id":"5c30c2a6-bc4a-4309-9171-bee02d700b37","html_url":"https://github.com/sayannath/Image-Scene-Classification","commit_stats":null,"previous_names":[],"tags_count":1,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sayannath%2FImage-Scene-Classification","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sayannath%2FImage-Scene-Classification/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sayannath%2FImage-Scene-Classification/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sayannath%2FImage-Scene-Classification/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/sayannath","download_url":"https://codeload.github.com/sayannath/Image-Scene-Classification/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":253754410,"owners_count":21958857,"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":["big-transfer","bit","image-classification","keras","mobilenetv3","state-of-the-art-models","tensrflow","tflite","visual-transformer","vit"],"created_at":"2024-10-24T02:42:10.768Z","updated_at":"2025-05-12T14:25:47.629Z","avatar_url":"https://github.com/sayannath.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Image-Scene-Classification\n\nCompetition Link: https://competitions.codalab.org/competitions/28113\n\n## Data overview\nWe are employing a newly collected Camera Scene Detection dataset consisting of images belonging to 30 different classes:\n\n* Portrait \n* Group Portrait \n* Kids / Infants \n* Dogs \n* Cats \n* Macro / Close-up \n* Food / Gourmet \n* Beach \n* Mountains \n* Waterfall \n* Snow \n* Landscape \n* Underwater \n* Architecture \n* Sunrise / Sunset \n* Blue Sky\n* Overcast / Cloudy Sky \n* Greenery / Grass \n* Autumn Plants \n* Flower \n* Night \n* Shot Stage / Concert \n* Fireworks \n* Candle light \n* Neon Lights / Neon Signs \n* Indoor \n* Backlight / Contre-jour \n* Text / Document \n* QR Code \n* Monitor Screen\n\nThe dataset is divided into:\n\ntrain data: 9897 images of resolution 576 x 384 px from the above 30 classes that can be used for training the model.\nvalidation data: 600 images of resolution 576 x 384 px provided from the beginning of the challenge and are meant for the participants to get online feedback from the validation server.\u003cbr\u003e\ntest data: 600 images of resolution 576 x 384 px; the participants will get access to them when the final evaluation phase starts and the results will be announced after the challenge is over and the winners are decided.\n\n## Data access\nDevelopment phase / Learning:\n\nTrain Data (images divided by classes) - http://data.vision.ee.ethz.ch/ihnatova/camera_scene_detection_train.zip \u003cbr\u003e\nValidation Data (only input images) - https://data.vision.ee.ethz.ch/ihnatova/camera_scene_detection_validation.zip\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsayannath%2Fimage-scene-classification","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsayannath%2Fimage-scene-classification","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsayannath%2Fimage-scene-classification/lists"}