{"repo":"virajmavani/semi-auto-image-annotation-tool","free":true,"listed":false,"github":"https://github.com/virajmavani/semi-auto-image-annotation-tool","clone":"git clone https://github.com/virajmavani/semi-auto-image-annotation-tool.git","description":"Anno-Mage: A Semi Automatic Image Annotation Tool which helps you in annotating images by suggesting you annotations using user-defined labels","language":"Python","stars":594,"topics":["deep-learning","tensorflow","keras","image-annotation","image-labeling","automation","hackoctoberfest","hacktoberfest2020","pytorch","torchvision"],"license":"Apache-2.0","category":"machine-learning","readme_excerpt":"Anno-Mage: A Semi Automatic Image Annotation Tool Semi-automatic image annotation toolbox powered by PyTorch object detection models, including open-vocabulary zero-shot detection via OWL-v2. Available as a web app (FastAPI + React). --- Web App See web/README.md for installation, usage, and API reference. Quick start: Or use the convenience script: --- PyPI Distribution Install from PyPI The app opens in your browser automatically. Annotations are saved to /.anno-mage/annotations/ . Publish a Release Releases publish automatically to PyPI when a version tag is pushed. GitHub Actions builds the frontend, packages everything, and publishes via PyPI Trusted Publishers (no tokens required). One-time PyPI setup: 1. Go to your PyPI project → Manage → Publishing → Add a new publisher 2. Set: GitHub repo virajmavani/semi-auto-image-annotation-tool , workflow release.yml , environment pypi To release: That's it — the workflow in .github/workflows/release.yml handles the rest. Build Locally To build the package without publishing: Prerequisites: This compiles the React frontend, copies the build into anno mage/static/ , and produces wheel and sdist artifacts in dist/ . --- Output Formats Both interfaces produce identical output: Format Location Description -------- ---------- ------------- CSV annotations/annotations.csv image path,x1,y1,x2,y2,label per row Pascal VOC XML annotations/annotations voc/ One XML file per image --- Acknowledgments - Meditab Software Inc. - PyTorch / Torchv","default_branch":null,"files":null,"tree":[],"storefront":"/r/virajmavani","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/virajmavani/semi-auto-image-annotation-tool/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}