1703 Open source projects that are alternatives of or similar to Openlabeling

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

This repository allows you to get started with training a state-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset or label your dataset using our BMW-LabelTool-Lite and you can start the training right away and monitor it in many different ways like TensorBoard or a custom REST API and GUI. NoCode training with YOLOv4 and YOLOV3 has never been so easy.

🌲 Aimbot powered by real-time object detection with neural networks, GPU accelerated with Nvidia. Optimized for use with CS:GO.

Annotation tool for YOLO in opencv

Yolo (Real time object detection) model training tutorial with deep learning neural networks

This is a repository for an nocode object detection inference API using the Yolov4 and Yolov3 Opencv.

Use the Intel D435 real-sensing camera to realize target detection based on the Yolov3 framework under the Opencv DNN framework, and realize the 3D positioning of the Objection according to the depth information. Real-time display of the coordinates in the camera coordinate system.ADD--Using Yolov5 By TensorRT model,AGX-Xavier,RealTime Object Detection

YOLO Object detection with OpenCV and Python.

NVIDIA DeepStream SDK 5.1 configuration for YOLO models

Making custom object detector using Yolo (Java and Python)

YOLO ROS: Real-Time Object Detection for ROS

A Python wrapper on Darknet. Compatible with YOLO V3.

MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB🔥🔥🔥

Review on Object Detection Metrics: 14 object detection metrics including COCO's and PASCAL's metrics. Supporting different bounding box formats.

Multi-camera live traffic and object counting with YOLO v4, Deep SORT, and Flask.

Real-time object detection on Android using the YOLO network with TensorFlow

Rapid satellite imagery object detection

Real-time people Multitracker using YOLO v2 and deep_sort with tensorflow

Most popular metrics used to evaluate object detection algorithms.

GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2

Self-hosted NVR with object detection

Caffe2 on iOS Real-time Demo. Test with Your Own Model and Photos.

A NodeJS wrapper of pjreddie's darknet / yolo.

Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.

Real-time people Multitracker using YOLO v2 and deep_sort with tensorflow

A (very) simple UI lib built on top of OpenCV drawing primitives

Tool to evaluate deep-learning detection and segmentation models, and to create datasets

Convert JSON annotations into YOLO format.

pnn is Darknet compatible neural nets inference engine implemented in Rust.

State of the art object detection in real-time using YOLOV3 algorithm. Augmented with a process that allows easy training of the classifier as a plug & play solution . Provides alert if an item in an alert list is detected.

A real-time object detection app based on lightDenseYOLO Our lightDenseYOLO is the combination of two components: lightDenseNet as the CNN feature extractor and YOLO v2 as the detection module

Go bindings for Darknet (YOLO v4 / v3)

Robotics Operating System Package for Yolo v3 based on darknet with optimized tracking using Kalman Filter and Optical Flow.

DroNet: Efficient convolutional neural network detector for Real-Time UAV applications

ffcnn is a cnn neural network inference framework, written in 600 lines C language.

Multiple Object Tracking System in Keras + (Detection Network - YOLO)

Conversion of yolo from DarkNet to Caffe

C++ wrapper library for Darknet

Plug and Play Real-Time Object Detection App with Tensorflow and OpenCV. No Bugs No Worries. Enjoy!

Marking up images for use with Darknet.

Convert between visual object detection datasets

Object Detection API Tensorflow

YOLO for object detection tasks

YOLO ModelCompression MultidatasetTraining

YOLOv3 implementation in TensorFlow 2.3.1

People detection and optional tracking with Tensorflow backend.

Visualize YOLO feature map in prediction for easily checking your model performance

To detect any reasonable change in a live cctv to avoid large storage of data. Once, we notice a change, our goal would be track that object or person causing it. We would be using Computer vision concepts. Our major focus will be on Deep Learning and will try to add as many features in the process.

A PyTorch implementation of the YOLO v3 object detection algorithm

C# Yolo Darknet Wrapper (real-time object detection)

yolo(all versions) implementation in keras and tensorflow 2.4

Tutorial for computer vision and machine learning in PHP 7/8 by opencv (installation + examples + documentation)

RectLabel - An image annotation tool to label images for bounding box object detection and segmentation.

Node bindings for YOLO/Darknet image recognition library

This repository contains the source code of our work on designing efficient CNNs for computer vision

Deep learning-based Face detection using the YOLOv3 algorithm (https://github.com/sthanhng/yoloface)

Vehicle detection using YOLO in Keras runs at 21FPS

Train a state-of-the-art yolov3 object detector from scratch!

Computer vision based vehicle detection and tracking using Tensorflow Object Detection API and Kalman-filtering