{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/5"},{"label":"Image Recognition","url":"https://skillfed.io/packages/category/scientific-engineering-image-recognition"}],"enrichment":{"capability":"IceVision provides a unified framework for training and deploying object detection models, supporting multiple model architectures and training backends like PyTorch Lightning and Fastai.","skillfed_tags":["object-detection","abandoned","pytorch"],"use_cases":["Train object detection models on custom datasets using pre-trained weights from a curated model zoo without writing boilerplate training code.","Explore and clean image datasets using the built-in data curation and auto-fix tools before training.","Combine object detection with image segmentation or classification in a single multi-task training pipeline.","Experiment with different neural network architectures and training backends (PyTorch Lightning, Fastai) on the same dataset.","Leverage hundreds of pre-trained models from torchvision and MMLabs for transfer learning on detection tasks."],"what_it_does":"IceVision is an object detection framework that abstracts away model and training backend differences, letting you work with hundreds of pre-trained models from torchvision, MMLabs, and other sources through a single API. It handles the full pipeline\u2014data curation, augmentation, model selection, and training orchestration\u2014using libraries like PyTorch Lightning and Fastai as pluggable backends.\n\nThe package includes data cleaning tools, an exploratory dashboard, pluggable transforms for augmentation, and support for multi-task learning combining detection, segmentation, and classification. However, the project has been abandoned since February 2022 and receives no active maintenance. It requires Linux or macOS and depends on a large stack of computer vision libraries (torch, torchvision, opencv-python, albumentations, and specialized detection models).","worth_installing":"No. The package is abandoned (no updates since February 2022) and depends on a large, rapidly evolving stack of computer vision libraries that may have become incompatible. For new projects, use actively maintained alternatives like Ultralytics YOLOv5/v8, Detectron2, or MMDetection. Install only if you are maintaining legacy code already using IceVision and cannot migrate."},"id":"icevision","links":{"html":"https://skillfed.io/packages/icevision","md":"https://skillfed.io/packages/icevision.md","pypi":"https://pypi.org/project/icevision/"},"maintenance":{"status":"abandoned"},"meta":{"latest_release":"2022-02-10","license_spdx":null,"license_treatment":"permissive","name":"icevision","python_support":"supports_current","summary":"Agnostic Computer Vision Framework"},"popularity":{"monthly_downloads":473813,"position":6458,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.12.0"}