EfficientDet (Scalable and Efficient Object Detection) implementation in Keras and Tensorflow
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Updated
Feb 12, 2020 - Python
EfficientDet (Scalable and Efficient Object Detection) implementation in Keras and Tensorflow
Unofficial implementation of EfficientDet
one-stage and two-stage detectors and segmentation-based detectors
This project is a kind of implementation of EfficientDet(CVPR 2020) using mmdetection.
One-stage and two-stage face detection models
Object Detection and Bounding Box Prediction using YOLO5 and EfficientDet , Image Augmentations and Test Time Augmentations
My modified version of EfficientDet training, cross-validation and inference with Pseudo Labelling pytorch pipelines used in GWD Kaggle Competition
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.
Tensorflow2 Object Detection APIで作成したFinger Frame検出用のモデルです(This is a model for FingerFrame detection created by Tensorflow2 Object Detection API.)
EfficientDet implementation using TensorFlow 2 Object Detection API
Diabetic Retinopathy using Patch Networks.
A guide to building your own Object Detection Model using Tensorflow 2.0. We build a Face Mask Detector for the purpose of tutorial.
QuarkDet lightweight object detection in PyTorch .Real-Time Object Detection on Mobile Devices.
A package to plot pretty bounding boxes for object detection task
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