object-detection-model
There are 2 repositories under object-detection-model topic.
- sparsezoo
neuralmagic / sparsezoo
Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes
Language:Python 376 8ff / firescrew
Firescrew - Spotting moving objects on your RTSP network cameras faster than a caffeinated cat!
Language:Go 156cmusatyalab / OpenTPOD
Open Toolkit for Painless Object Detection
dnntransfer-learningobject-detectiondeep-neural-networksautomlfine-tuningdeep-neural-networkdeep-learningobject-detection-pipelinesobject-detection-apiobject-detection-modelobject-detection-tutorialtensorflowtensorflow-servingtensorflow-modelscustom-visioncustom-vision-apidjangodjango-rest-frameworkreactjsLanguage:CSS 119HuangCongQing / mmdetection3d-note
mmdetection3d 代码重点注解笔记
Language:Python 51dabasajay / YOLO-Object-Detection
YOLO Algorithm (Yolov2 model) trained on COCO Dataset for Object Detection
Language:Python 26Hunterdii / TensorFlow-Advanced-Techniques-Solution
Tensorflow Advanced Technique Specialization - Solution
computer-visioncourseracoursera-specializationcustom-modelcustom-trainingdeep-learningdeeplearning-aidistributed-traininggenerative-aiimage-detectionimage-segmentation-tensorflowmachine-learningobject-detectionobject-detection-modelsemantic-segmentationspecializationtensorflowtensorflow-tutorialsvisualizationLanguage:Jupyter Notebook 8mpolinowski / yolov8-nightshift
Using YOLOv8 to build a Object Classifier/Tracker for RBG/Thermal Cameras
Language:Jupyter Notebook 7MuntahaShams / Object-detection-using-YOLOv3
YOLO is a state-of-the-art, real-time object detection algorithm. In this notebook, I had applied the YOLO algorithm to detect objects in images ,videos and webcam
Language:Jupyter Notebook 7asimniazi63 / Object-Detection-on-Satellite-Images
Repository contains RetinaNet,Yolov3 and Faster RCNN for multi object detection on SIMD Dataset http://vision.seecs.edu.pk/simd/
Language:Jupyter Notebook 6cedrickchee / tensorflow2-yolo-v3
YOLO version 3 implementation in TensorFlow 2
Language:Python 5Praveen76 / Computer-Vision-Interview-Preparation
Explore the Computer Vision Interview Prep repository! This GitHub collection offers interview questions and answers for Data Scientists. Elevate your knowledge of computer vision, confidently tackle technical interviews, and succeed in the dynamic field of data science with a focus on computer vision applications.
Language:Python 5AM172-ce / Yolov9-on-VisDrone-dataset
This a simple comparison and benefits of the pre-trained weights model vs the random weights model
Language:Jupyter Notebook 4ynsgkturk / Custom-Dataset-Training-with-DETR
Custom Dataset Training pipeline using Pytorch and Meta's object detection model DETR.
Language:Python 4- OD-Metrics
EMalagoli92 / OD-Metrics
Python library for Object Detection metrics.
Language:Python 3 vagdevik / Flask-App-Object-Detection
This is an Object Detection Web App built using Flask. It is developed using OpenCV4.4.0 by re-using a pre-trained TensorFlow Object Detection Model API trained on the COCO dataset.
Language:Jupyter Notebook 2AnandaRauf / Sini-Dek-Dekat-Yanda-Sistem-Informasi-Deteksi-Benda-Berbahaya-Python-
Sini Dek Dekat Yanda is software dangerous object detection.
Arupsau / CCTV-Surveillance-for-Traffic-Dense-Environment----Object-Detection-and-Tracking-Using-YOLOV3
Object Detection and Tracking using yolov3 and deepsort
Language:Jupyter Notebook 1hashim21223445 / Andoka-Cloud.35
Created API calls, application disclosure, documentation, templates, and code for Enduka Cloud for software development
algorithmsalgorithms-and-data-structures-interview-questionsblogconfigdocker-composefirebasehtmljavamachine-learningmachine-learning-algorithmsneural-networkobject-detectionobject-detection-and-trackingobject-detection-apiobject-detection-modelobject-detection-pipelinesoperating-systemoperating-system-docsoperating-systems-projectpythonLanguage:JavaScript 1📄 Documentation for Vue Andoka Cloud
Language:TypeScript 1inforkgodara / vehicle-recognition-for-weighbridge-scale
This is a python project that recognizes truck when truck comes at the weighbridge and take the picture and update on the WhatsApp number.
Language:Python 1- low-clearance-detector
lbborkowski / low-clearance-detector
Custom object detection model for low clearance signs
Language:Jupyter Notebook 1 MettaSurendhar / Met-Object-Detector
Real time AI object detection and labelling app build by using ReactJS and react webcam
Language:JavaScript 1SreeEswaran / Object-Detection-YOLOv5
This project demonstrates object detection using YOLOv5. The model is trained on a custom dataset and can detect objects in new images. YOLOv5 is a state-of-the-art object detection model known for its speed and accuracy, making it suitable for real-time applications.
Language:Python 1VishalBheda / ObjectRecogniserWithCOCO
Image Object Recogniser with COCO pre trained machine learning model
Language:Vue 1Zaheer-10 / Object-Detection
Object Detection With YOLO
Language:Python 1- Language:Jupyter Notebook 0
- Language:Python 0
MichaelAkridge-NOAA / Fish-or-No-Fish-Detector
Is there a fish 🐟 or not? Fish Detector App and Model
Language:Python 0minion50000 / object-detection-DETR
Object detection model inferencing with DETR
Language:Python 0Nithish-raina / social-distancing-detection
An AI tool that enables the workers to monitor the social distancing in a crowded workplace.
Language:Python 0SamirRSharma / final-object-detection
A fullstack object detection project I made for fun
Language:TypeScript 0fay3000 / dormouse-detection
Detecting Dormice in Images Using Object Detection and Transfer Learning
Language:Pythonfrancoborrelli / object-based-positioning-library
📷 This library is presented as a concrete implementation aimed at enabling a proof of concept. The library allows for positioning users in indoor spaces using various object recognition models.
Language:TypeScript- Language:Python
rastri-dey / Event_Camera_MTT
Event Camera based Multiple Target Tracking system
Language:MATLABSandeep9975 / Object_Detection_Using_Yolo
Object detection using the YOLO (You Only Look Once) algorithm is a popular deep-learning approach that allows for real-time, efficient, and accurate detection of multiple objects in an image or video stream. YOLOv7.cfg and YOLOv3.weights are specific configurations and pre-trained weights for two versions of the YOLO algorithm.
Language:Jupyter Notebook
