{"id":18322156,"url":"https://github.com/aiaaee/102-flower-dataset","last_synced_at":"2025-04-09T14:42:07.236Z","repository":{"id":260591962,"uuid":"881776919","full_name":"aiaaee/102-Flower-Dataset","owner":"aiaaee","description":"102Flower is an image classification dataset consisting of 102 flower categories","archived":false,"fork":false,"pushed_at":"2024-11-14T18:57:01.000Z","size":264,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-15T08:37:11.028Z","etag":null,"topics":["convolutional-neural-networks","deep","deeplearning","image-analysis","image-processing","vision"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/aiaaee.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,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-11-01T07:52:07.000Z","updated_at":"2024-11-14T18:57:05.000Z","dependencies_parsed_at":"2024-11-01T08:27:10.381Z","dependency_job_id":"9d238784-1ea6-47d4-92c8-2b480539c1fa","html_url":"https://github.com/aiaaee/102-Flower-Dataset","commit_stats":null,"previous_names":["aiaaee/102-flower-dataset"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aiaaee%2F102-Flower-Dataset","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aiaaee%2F102-Flower-Dataset/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aiaaee%2F102-Flower-Dataset/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aiaaee%2F102-Flower-Dataset/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/aiaaee","download_url":"https://codeload.github.com/aiaaee/102-Flower-Dataset/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248055275,"owners_count":21040151,"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":["convolutional-neural-networks","deep","deeplearning","image-analysis","image-processing","vision"],"created_at":"2024-11-05T18:23:31.560Z","updated_at":"2025-04-09T14:42:07.212Z","avatar_url":"https://github.com/aiaaee.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 102-Flower-Dataset with VGG16 \n\n102Flower is an image classification dataset consisting of 102 flower categories. The flowers chosen to be flower commonly occurring in the United Kingdom. Each class consists of between 40 and 258 images.\nThe images have large scale, pose and light variations. In addition, there are categories that have large variations within the category and several very similar categories.\n \n![Example-images-from-the-Oxford-102-Flowers-dataset](https://github.com/user-attachments/assets/9014374f-fcf5-477e-ac65-cb898641dec8)\n \n \n## Downloads\nThe data needed for evaluation are:\n\n[Dataset images](https://www.robots.ox.ac.uk/~vgg/data/flowers/102/102flowers.tgz)\n\n[Image segmentations](https://www.robots.ox.ac.uk/~vgg/data/flowers/102/102segmentations.tgz)\n\n[\u0026Chi2 distances](https://www.robots.ox.ac.uk/~vgg/data/flowers/102/distancematrices102.mat) - As used in the ICVGIP 2008 publication.\n\n[The image labels](https://www.robots.ox.ac.uk/~vgg/data/flowers/102/imagelabels.mat)\n\n[The data splits](https://www.robots.ox.ac.uk/~vgg/data/flowers/102/setid.mat)\n\nThe [README](https://thor.robots.ox.ac.uk/flowers/102/README.txt) file explains everything.\n\n![download](https://github.com/user-attachments/assets/516f3ee6-c51d-4b98-8a97-0ed16292d4b9)\n\n\n## Visualization of the dataset\nWe visualize the categories in the dataset using SIFT features as shape descriptors and HSV as colour descriptor. The images are randomly sampled from the category.\n\n![T_colouriso](https://github.com/user-attachments/assets/0d8d53d0-9317-421e-9f02-61c5ede954de) ![T_shapeiso](https://github.com/user-attachments/assets/078f70b0-bf8a-49c4-ac8a-695a29eb7c39)\n\n\n## Publications\n\nNilsback, M-E. and Zisserman, A.\nAutomated flower classification over a large number of classes  \nProceedings of the Indian Conference on Computer Vision, Graphics and Image Processing (2008)\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faiaaee%2F102-flower-dataset","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Faiaaee%2F102-flower-dataset","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faiaaee%2F102-flower-dataset/lists"}