Efficientdet

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efficientdet is an Open Source & Models tool that provides a PyTorch implementation of the EfficientDet object detection model. It offers scalable and efficient object detection capabilities with pre-trained weights.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is efficientdet?

efficientdet is a PyTorch implementation of the EfficientDet object detection model, developed by Signatrix GmbH. This open-source tool provides scalable and efficient object detection capabilities, making it suitable for various computer vision tasks. It includes pre-trained weights, allowing users to get started quickly without extensive training. The repository offers scripts for training models, evaluating mean average precision (mAP) on datasets like COCO, and testing models on both datasets and video inputs. It supports Python 3.6 and PyTorch 1.2, along with other common libraries like OpenCV and TensorBoard. The implementation borrows concepts from RetinaNet, providing a robust framework for object detection research and application.

Best used for

Ideal for data scientists who need to implement scalable and efficient object detection, train custom models on datasets like COCO, and evaluate their performance. Especially valuable for researchers and developers working on computer vision projects requiring robust object detection capabilities with pre-trained options.

Common actions

implement object detection

train AI models

evaluate model performance

test computer vision models

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Capabilities

Key features

Pre-trained weights provided
Train object detection models
Evaluate mAP for COCO
Test models on datasets
Test models on video

Target Audience

data scientist

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What are the system requirements for running efficientdet?

efficientdet requires Python 3.6, PyTorch 1.2, OpenCV (cv2), and TensorBoard. It also utilizes efficientnet_pytorch and pycocotools. While TensorBoardX is mentioned, it can be skipped if SummaryWriter is not used for logging.

Does efficientdet provide pre-trained models?

Yes, efficientdet provides pre-trained weights for the EfficientDet model. These weights are available in the `./trained_models` directory within the repository, allowing users to quickly deploy and test the model without extensive initial training.

Can I train efficientdet on my own dataset?

While the documentation primarily focuses on COCO, the framework is designed for training. Users can adapt the `train.py` script and data loading mechanisms to train the EfficientDet model on their custom datasets, provided they are formatted appropriately.

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Also listed in

This tool also appears in

Data & Analytics › Predictive Analytics Research & Education › Scientific Computing

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