{"data":{"slug":"ankonzoid-artificio","name":"artificio","tagline":"A suite of computer vision deep learning algorithms","github_url":"https://github.com/ankonzoid/artificio","owner":"ankonzoid","repo":"artificio","owner_avatar_url":"https://avatars.githubusercontent.com/u/25497569?v=4","primary_language":"Python","stars":418,"forks":213,"topics":["ai","applications","artificial-intelligence","auto-encoders","computer-vision","convolutional-neural-networks","data-science","deep-learning","image-classification","image-finder","image-processing","image-recognition","image-retrieval","machine-learning","neural-networks","object-recognition","python","recommender-system","recommender-systems","transfer-learning"],"archived":false,"github_pushed_at":"2022-08-19T03:03:09+00:00","maintenance_label":"Dormant","stars_delta_30d":0,"url":"https://www.graphcanon.com/tools/ankonzoid-artificio","markdown_url":"https://www.graphcanon.com/tools/ankonzoid-artificio.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/ankonzoid-artificio","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=ankonzoid-artificio","description":"Deep Learning Computer Vision Algorithms for Real-World Use","homepage_url":null,"license":"Apache-2.0","open_issues":5,"watchers":19,"ai_summary":"Repository contains real-world ready deep learning algorithms specifically for image retrieval, autoencoders, and processing through transfer learning and neural networks.","readme_excerpt":"# artificio: A suite of computer vision deep learning algorithms\n\nWe provide here a suite of deep learning computer vision algorithms that are ready for real-world use:\n\n### [Image Retrieval (via Transfer Learning)](image_retrieval)\n\n

\n\n\n\n\n\n\n

\n\n### [Image Retrieval (via Autoencoders)](image_retrieval)\n\n

\n\n\n\n\n\n\n

\n\n### [Image Processing Tools](process_image)\n\n

\n\n\n\n

\n\n### [Google Images Scraper](scrape_google_images)\n\n

\n\n\n\n

\n\n#### Authors\n\nAnson Wong","github_created_at":"2017-06-28T13:53:10+00:00","created_at":"2026-07-11T12:29:43.089001+00:00","updated_at":"2026-09-24T06:00:33.899928+00:00","categories":[{"slug":"computer-vision","name":"Computer Vision","url":"https://www.graphcanon.com/categories/computer-vision","markdown_url":"https://www.graphcanon.com/categories/computer-vision.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/computer-vision"},{"slug":"model-training","name":"Model Training","url":"https://www.graphcanon.com/categories/model-training","markdown_url":"https://www.graphcanon.com/categories/model-training.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/model-training"}],"tags":[{"slug":"ai","name":"ai"},{"slug":"computer-vision","name":"computer-vision"},{"slug":"convolutional-neural-networks","name":"convolutional-neural-networks"},{"slug":"data-science","name":"data-science"},{"slug":"deep-learning","name":"deep-learning"},{"slug":"image-classification","name":"image-classification"},{"slug":"machine-learning","name":"machine-learning"},{"slug":"neural-networks","name":"neural-networks"}],"trust":{"provenance":{"is_fork":false,"github_id":95674289,"owner_type":"User","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-09-24T06:00:33.138Z","maintenance":{"label":"Dormant","score":18,"methodology":"github_public_v1","releases_90d":0,"days_since_push":1497,"last_release_at":null,"stars_delta_30d":0,"open_issues_delta_30d":0},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T12:29:45.132Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-09-24T06:00:33.607Z"},"languages":{"value":["python"],"source":"github.language","observed_at":"2026-09-24T06:00:33.607Z"},"license_spdx":{"value":"Apache-2.0","source":"github.license","observed_at":"2026-09-24T06:00:33.607Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":{"notes":["Ensure Python environment and relevant dependencies are set up for effective use of Artificio's deep learning algorithms."],"min_ram_gb":null,"requires_docker":false},"constraints":{"min_ram_gb":null,"requires_docker":false},"when_to_use":["Use Artificio when you need robust solutions specifically designed around image retrieval through advanced methods such as transfer learning and autoencoders.","Opt for this tool if your project requires a comprehensive suite that includes both image processing tools and functionalities to create and leverage neural networks efficiently."],"when_not_to_use":["Avoid Artificio if your application demands heavy customization in areas outside image retrieval and processing, as it is more specialized than general computer vision libraries.","Do not use this tool if you prioritize models tailored by an extensive community of developers or contributions from multiple organizations for broader support."],"source":"enrich:decision_facts","observed_at":"2026-07-17T13:35:00.759Z"},"constraint_facets":{"min_ram_gb":null,"requires_docker":false},"decision_summary":[{"label":"Requirements","value":"Ensure Python environment and relevant dependencies are set up for effective use of Artificio's deep learning algorithms."},{"label":"Adopt for","value":"Artificio is tailored for teams needing specialized image retrieval and processing features using deep learning models like autoencoders and transfer learning."},{"label":"License detail","value":"The source code is available under the Apache License, Version 2.0, allowing broad usage in both open-source and commercial projects with attribution to the original authors."}]}}