An object detection API for faster training of EfficientDet models on various datasets using PyTorch.
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Updated
Jul 14, 2021 - Python
An object detection API for faster training of EfficientDet models on various datasets using PyTorch.
Performance Exploitation in Low Computing Cost Model-Based EfficientDet for UAV Object Detection
Implementation of CVPR 2020 paper "EfficientDet: Scalable and Efficient Object Detection" using PyTorch and OpenCV
One-stage and two-stage face detection models
one-stage and two-stage detectors and segmentation-based detectors
By applying object detection techniques using EfficientDet, this model can detect and count the number of shrimp on an image.
Pipeline for training Efficientdet on COCO2017, implemented by PyTorch Lightning, Hydra and Wandb
This is a hybrid variety of detection models which is inspired from bothe centrenet and EfficientDet. This model is as fast as centrenet and much accurate due to the fusion blocks.
Object Detection using EfficientDet
Deep Learning models for Object Detection
ElectrAI is a Tensorflow AI for detecting electronic components such as resistors.
This is an implementation for paper Automated training of location-specific edge models for traffic counting
Modular framework for developing image models based on PyTorch. Customize your model with combinations and replacement on classification / detection modules.
Comparison of object detection algorithms
Tesi di Laurea Magistrale
✅make your EfficientDet datasets.|制作你的EfficientDet可以训练的数据集
Detection of Bone Joints using Deep Learning
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