{"id":22734074,"url":"https://github.com/mhw32/derm-ai","last_synced_at":"2025-04-14T02:05:13.790Z","repository":{"id":45589634,"uuid":"104589205","full_name":"mhw32/derm-ai","owner":"mhw32","description":"Machine Learning for Skin Disease Classification","archived":false,"fork":false,"pushed_at":"2021-06-25T05:32:38.000Z","size":20710,"stargazers_count":89,"open_issues_count":8,"forks_count":43,"subscribers_count":9,"default_branch":"master","last_synced_at":"2025-04-14T02:05:04.376Z","etag":null,"topics":["deep-neural-networks","mole","skin-detection"],"latest_commit_sha":null,"homepage":null,"language":"Python","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/mhw32.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}},"created_at":"2017-09-23T18:19:18.000Z","updated_at":"2025-03-14T07:39:19.000Z","dependencies_parsed_at":"2022-08-04T17:15:15.259Z","dependency_job_id":null,"html_url":"https://github.com/mhw32/derm-ai","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/mhw32%2Fderm-ai","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mhw32%2Fderm-ai/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mhw32%2Fderm-ai/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mhw32%2Fderm-ai/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mhw32","download_url":"https://codeload.github.com/mhw32/derm-ai/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248809039,"owners_count":21164896,"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":["deep-neural-networks","mole","skin-detection"],"created_at":"2024-12-10T20:17:30.694Z","updated_at":"2025-04-14T02:05:13.761Z","avatar_url":"https://github.com/mhw32.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# DermAI\n\nDeep convolutional network to predict 23 classes of skin diseases found in http://www.dermnet.com/dermatology-pictures-skin-disease-pictures from raw images. We make use of a pretrained ResNet152 since many visual semantics like edges or object shapes should be transferrable from Imagenet. We append 2 fully connected layers to fine-tune for our use case.\n\nThis project is an entry to API World Hackathon 2017.\n\n## Installation\n\nRun the `setup.sh` script to download raw images and ResNet152 embeddings. The script will also download a trained model (this is a 2-fully-connected network stacked on top of ResNet152). Unzipping the files should produce the following folders: `train/`, `test/`, `train_emb/`, `test_emb/`. `trained_models` includes a trained version of the fine-tune net with 0.53 percent accuracy on held-out test data.\n\nTo install all the libraries needed, run `pip install -r requirements.txt`.\n\n## Instructions\n\nTo start the Flask app, do `python run.py`. There is a single POST route (`/predict`) that takes a JSON from key `image` to a base64 encoded image. It will return a `class` and a `score`. \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmhw32%2Fderm-ai","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmhw32%2Fderm-ai","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmhw32%2Fderm-ai/lists"}