Single Shot Multibox Detector on Caltech pedestrian dataset
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Updated
May 28, 2017 - C++
Single Shot Multibox Detector on Caltech pedestrian dataset
Optical character recognition for Chinese subtitles using SSD and CNN
Object detection and classification
Standard RetinaNet implemented with Pure PyTorch (Work in progress)
Implemented SSD model to differentiate the front and rear views of the vehicles in images or video streams.
Learning Rich Features at High-Speed for Single-Shot Object Detection, ICCV, 2019
photonet
Implemented objects(Vehicles, Traffic Lights) detection pipe line by applying MobileNets and SSD (Single Shot Detection) architecture in order to detect vehicles , traffic lights and pedestrians in the driving video
Control your mouse pointer with natural hand gestures trained on Single Shot Detectors
Real time Object detection giving all object detected : labels along with all bounding box predictions + Flask live hosted server
Business intelligent tool that extracts customer shopping patterns from surveillance video footage
🔭 A TensorFlow-Lite powered tracking rover.
In this project I have implemented Object Detection using a single shot detector. The tricky part was the objects were densely populated as the images were of a retail store.
Convex Shape Recovery Program for Single-Shot X-ray Tomography
This project focuses on a 2021 research paper on target detection in SAR images based on semi-supervised learning and attention mechanism.
A simple python module to generate anchor (aka default/prior) boxes for object detection tasks.
ECE285 SP19
SSD300 Model using PyTorch
[EXPERIMENTAL] Facebook-like automatic alternative (alt) text for images using object detection with pre-trained model.
SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection
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