{"categories":[{"label":"Software Development","url":"https://skillfed.io/packages/category/software-development/8"},{"label":"Libraries","url":"https://skillfed.io/packages/category/software-development-libraries/5"},{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/4"},{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/11"},{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/5"}],"enrichment":{"capability":"PyTorch implementation of EfficientDet object detection models with configurable BiFPN, multiple backbones from timm, and support for training on COCO and other datasets.","skillfed_tags":["object-detection","computer-vision","model-zoo"],"use_cases":["Train an object detector on a custom dataset using a pretrained EfficientDet backbone and fine-tuning scripts","Deploy a lightweight COCO-pretrained detector for real-time inference on edge devices or servers","Experiment with different BiFPN configurations and backbone architectures without modifying core model code","Evaluate detection performance on VOC 2007/2012 or OpenImages datasets using built-in evaluators","Convert a trained model to TorchScript for production inference with reduced memory and latency"],"what_it_does":"EfficientDet is a PyTorch port of Google's official TensorFlow object detection architecture, designed to balance speed and accuracy across multiple model scales. It provides pretrained weights for COCO detection and supports training on custom datasets (COCO, VOC, OpenImages) with a flexible configuration system. The core innovation is the BiFPN (Bidirectional Feature Pyramid Network), which you can customize via config\u2014switching between depthwise separable and standard convolutions, adjusting activation functions, and choosing from any timm backbone that supports feature extraction.\n\nThe package includes training and validation scripts, focal loss with label smoothing, data loaders for multiple dataset formats, and evaluation tools based on TensorFlow Models. It supports PyTorch 1.6+ features like native DDP, SyncBN, and AMP, plus optional TorchScript compilation for speed. However, maintenance is dormant as of August 2024, so it is stable for inference and training on existing PyTorch versions but will not receive updates for new PyTorch releases or dependency changes.","worth_installing":"Yes, if you need a stable, well-documented PyTorch object detector for inference or training on current PyTorch versions. The pretrained weights are solid (mAP scores published), the codebase is mature, and there are no known vulnerabilities. No, if you require active maintenance, support for the latest PyTorch features, or expect bug fixes\u2014the project is dormant and last released in May 2023. For new projects, consider whether a more actively maintained detection library fits your timeline."},"id":"effdet","links":{"html":"https://skillfed.io/packages/effdet","md":"https://skillfed.io/packages/effdet.md","pypi":"https://pypi.org/project/effdet/"},"maintenance":{"status":"dormant"},"meta":{"latest_release":"2023-05-21","license_spdx":null,"license_treatment":"permissive","name":"effdet","python_support":"supports_current","summary":"EfficientDet for PyTorch"},"popularity":{"monthly_downloads":530296,"position":6156,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.4.1"}