toandaominh1997/EfficientDet.Pytorch

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1441 stars · 303 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A PyTorch implementation of EfficientDet, a scalable and efficient object detection model from a 2019 Google Research paper. It supports EfficientDet-D0 through D7, training and evaluation on PASCAL VOC and COCO datasets, and includes a demo script for inference.

Use cases

• train an object detection model in pytorch
• run efficientdet inference on images
• detect objects in photos with a pretrained model
• benchmark object detection on pascal voc or coco
• implement efficientdet from the paper
• fine-tune object detection on custom dataset

When to choose

• you want a PyTorch implementation of EfficientDet with pretrained VOC weights
• you need to train or evaluate object detection on VOC or COCO
• you want to experiment with EfficientDet-D0 to D7 variants

When to avoid

• you need production-grade, actively maintained detection tooling
• you want YOLO or transformer-based detectors instead
• you need ImageNet or other dataset support not yet implemented

Facets

library · maturity maintenance

machine-learning computer-vision image-processing computer-vision deep-learning machine-learning python object-detection efficientdet pytorch efficientnet pascal-voc coco focal-loss nms gpu

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