PHRI1516 - Object Detection
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Updated
Mar 12, 2017 - Python
PHRI1516 - Object Detection
A fork of the repository from the Dawn Group at Stanford
argos-back for argos-front
Almost Real-time Object Detection using Apple's CoreML and YOLO v1 -
Multi-class object detection pipeline—Single Shot MultiBox Detector (SSD) + YOLOv3 (real-time) + focal loss (RetinaNet) + Pascal VOC 2007 dataset
Object detector from HOG + Linear SVM framework
Projects I built focused on self driving car
Serve machine learning models using tensorflow serving
Data Augmentation For Object Detection using Deep Learning with PyTorch
🚀 The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems!
The goal of the project is to classify the vehicles, count their frequency, track them using unique ID and provide safety measures to the users by flagging the suspicious ones.
🎵 A repository for manually annotating files to create labeled acoustic datasets for machine learning.
Real time Object detection giving all object detected : labels along with all bounding box predictions + Flask live hosted server
Open Toolkit for Painless Object Detection
Object Detection Implementation with NNStreamer (2020)
This folder contains data and various code samples related to using object detectors and object segmentation.
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