🚀 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!
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Updated
Aug 30, 2024 - Python
🚀 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!
This folder contains data and various code samples related to using object detectors and object segmentation.
Object Detection Implementation with NNStreamer (2020)
Open Toolkit for Painless Object Detection
Real time Object detection giving all object detected : labels along with all bounding box predictions + Flask live hosted server
🎵 A repository for manually annotating files to create labeled acoustic datasets for machine learning.
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.
Data Augmentation For Object Detection using Deep Learning with PyTorch
Serve machine learning models using tensorflow serving
Projects I built focused on self driving car
Object detector from HOG + Linear SVM framework
Multi-class object detection pipeline—Single Shot MultiBox Detector (SSD) + YOLOv3 (real-time) + focal loss (RetinaNet) + Pascal VOC 2007 dataset
Almost Real-time Object Detection using Apple's CoreML and YOLO v1 -
argos-back for argos-front
A fork of the repository from the Dawn Group at Stanford
PHRI1516 - Object Detection
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