RectLabel

An offline image annotation tool for object detection and segmentation.

To download RectLabel apps.

• RectLabel
• RectLabel Pro

Post the problem to our Github issues.

Have questions? Send an email to support@rectlabel.com.

Thank you.

Papers cited RectLabel

• MCGC: A Multi-scale Chain Growth Clustering Algorithm for Generating Infrared Small Target Mask under Single-point Supervision
• SqueakOut: Autoencoder-based segmentation of mouse ultrasonic vocalizations
• DeepSTARia: enabling autonomous, targeted observations of ocean life in the deep sea
• Automatic Semantic Segmentation of Indoor Datasets
• PedAnalyze - Pedestrian Behavior Annotator and Ontology
• Blastocyst Formation Prediction Based on Deep Learning Model from 3-Day Embryo Images in Time-Lapse Incubator Using Data Augmentation
• Ultrasound-Based Image Analysis for Predicting Carotid Artery Stenosis Risk: A Comprehensive Review of the Problem, Techniques, Datasets, and Future Directions
• Preprocessing Technique for Oral Lesion Classification using U-NET Segmentation
• APPROACHES OF BUILDING A REAL-WORLD OBJECT DETECTOR DATA SOURCE
• Lightweight neural network for smart diagnosis of cholangiocarcinoma using histopathological images
• Smart and Sustainable Surveillance System
• Summary of Data Label Research under Smart Finance
• MsFireD-Net: A lightweight and efficient convolutional neural network for flame and smoke segmentation
• Ultrasound-Based Image Analysis for Predicting Carotid Artery Stenosis Risk: A Comprehensive Review of the Problem, Techniques, Datasets, and Future Directions
• Detection and Classifying of Chili Fruits Variations using YOLOv5
• Deep learning model shows promise for detecting and grading sesamoiditis in horse radiographs
• Simultaneous Measurement of Turbulent Surface Velocities and Fish Movement in an Open Channel Flow with Implications for Agent-Based Models
• Detection of Two Wheeler Defaulters Using Artificial Intelligence
• SMART CITY CLEANLINESS DETECTION AND MONITORING
• Synthetic Dataset Generation for Efficient Neural Network Training
• Detects Damage Car Body using YOLO Deep Learning Algorithm
• Elbow trauma in children: development and evaluation of radiological artificial intelligence models
• Leguminous seeds detection based on convolutional neural networks: Comparison of faster R-CNN and YOLOv4 on a small custom dataset
• StomaAI: an efficient and user-friendly tool for measurement of stomatal pores and density using deep computer vision
• Real-time objects(rat) detection in YOLOv5 model analysis
• A Novel Method to Generate Auto-Labeled Datasets for 3D Vehicle Identification Using a New Contrast Model
• Automating Building Damage Reconnaissance to Optimize Drone Mission Planning for Disaster Response
• Systematic review with radiomics quality score of cholangiocarcinoma: an EuSoMII Radiomics Auditing Group Initiative
• Improvement Object Detection Algorithm Based on YoloV5 with BottleneckCSP
• Image Based Crowd Counting : A Review
• Regulatory mechanism of a heat-activated retrotransposon by DDR complex in Arabidopsis thaliana
• Automatic detection and counting of oil palm trees using remote sensing and object-based deep learning
• Computational Pipeline for Glomerular Segmentation and Association of the Quantified Regions with Prognosis of Kidney Function in IgA Nephropathy
• FathomNet: A global underwater image training set for enabling artificial intelligence in the ocean
• Automatic non-destructive multiple lettuce traits prediction based on DeepLabV3+
• Datasets and processing methods for boosting visual inspection of civil infrastructure: A comprehensive review and algorithm comparison for crack classification, segmentation, and detection
• Leveraging Artificial Intelligence to Enhance Peer Review: Missed Liver Lesions on Computed Tomography Pulmonary Angiography
• Extraction of Citrus Trees from UAV Remote Sensing Imagery Using YOLOv5s and Coordinate Transformation
• A Review of Animal Individual Recognition Based on Computer Vision
• Active-Laser Scanning and Intelligent Picking for Automated Loading of Agricultural Commodities to Processing Machines
• An approach for characterization of infected area in tomato leaf disease based on deep learning and object detection technique
• A scalable open-source framework for machine learning based image collection, annotation and classification: a case study for automatic fish species identification
• A Review of Deep Learning Techniques for Crowd Behavior Analysis
• Development of a Machine Learning Algorithm for at Home Curvature Assessment
• Tools, techniques, datasets and application areas for object detection in an image: a review
• Data Labeling tools for Computer Vision: a Review
• Towards a better understanding of annotation tools for medical imaging: a survey
• A Software for Rapid Annotation of Scene Objects Based on Saliency Object Ranking
• SAI: Fast and automated quantification of stomatal parameters on microscope images
• Machine learning techniques to characterize functional traits of plankton from image data
• FFA-IR: Towards an Explainable and Reliable Medical Report Generation Benchmark
• Crowd Counting Using End-to-End Semantic Image Segmentation
• A Mobile Application For The Visually Handicapped
• Intelligent Image Labeling System for Recognizing Traffic Violations
• Deep Reinforcement Learning for Multi-Modal Embodied Navigation
• Review on Convolutional Neural Networks (CNN) in Vegetation Remote Sensing
• Esophageal discoid foreign body detection and classification using artificial intelligence
• Instance Segmentation for Governmental Inspection of Small Touristic Infrastructure in Beach Zones Using Multispectral High-Resolution WorldView-3 Imagery
• Panoptic Segmentation Meets Remote Sensing
• Visual Tracking of Deepwater Animals Using Machine Learning-Controlled Robotic Underwater Vehicles
• Effectiveness of Create ML in microscopy image classifications: a simple and inexpensive deep learning pipeline for non-data scientists
• A New Indonesian Traffic Obstacle Dataset and Performance Evaluation of YOLOv4 for ADAS
• Towards adversarial robustness with 01 lossmodels, and novel convolutional neural netsystems for ultrasound images
• e-Health and Resource Management Scheme for a Deep Learning-based Detection of Tumor in Wireless Capsule Endoscopy Videos
• Crack Detection on Aircraft Composite Structures Using Faster R-CNN
• Modern Web Application for Image Annotation Using Web Technologies
• Fast Machine Learning Annotation in the Medical Domain: A Semi-Automated Video Annotation Tool for Gastroenterologists
• Using deep learning convolutional neural networks to automatically perform cerebral aqueduct CSF flow analysis
• Single Shot Detector for Object Detection using an Ensemble of Deep Learning and Statistical Modelling for Robot Learning Applications
• Window Detection In Facade Imagery: A Deep Learning Approach Using Mask R-CNN
• Deep Learning in Forestry Using UAV-Acquired RGB Data: A Practical Review
• A deep convolutional neural network for the detection of polyps in colonoscopy images
• LabelRS: An Automated Toolbox to Make Deep Learning Samples from Remote Sensing Images
• Convolutional neural network for classifying primary liver cancer based on triple-phase CT and tumor marker information: a pilot study
• Review of Artificial Intelligence Training Tools and Courses for Radiologists
• VINS: Visual Search for Mobile User Interface Design
• Deep learning for the radiographic diagnosis of proximal femur fractures: limitations and programming issues
• TableRobot: an automatic annotation method for heterogeneous tables
• Artificial intelligence research within reach: an object detection model to identify rickets on pediatric wrist radiographs
• Use of computational fluid dynamics for 3D fiber tract visualization on human high-thickness histological slices: histological mesh tractography
• AiSee: An Assistive Wearable Device to Support Visually Impaired Grocery Shoppers
• Web based object annotation tool using a Triplet-ReID sorting approach
• A benchmark dataset for canopy crown detection and delineation in co-registered airborne RGB, LiDAR and hyperspectral imagery from the National Ecological Observation Network
• Deep Learning for Retail Product Recognition: Challenges and Techniques
• A Hand-Drawn Barcode
• Automated Object Labeling For Cnn-Based Image Segmentation
• Autonomous Driving Landscape
• Computing Systems for Autonomous Driving: State-of-the-Art and Challenges
• Mask galaxy: Morphological segmentation of galaxies
• A Deep Convolutional Neural Network for the Detection of Polyps in Colonoscopy Images
• Advances and Trends in Real Time Visual Crowd Analysis
• Visual Assessment for Non-Disruptive Object Extraction
• DeepForest: A Python package for RGB deep learning tree crown delineation
• Detection and enumeration of wheat grains based on a deep learning method under various scenarios and scales
• Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments
• APPLYING OBJECT DETECTION TO MONITORING MARINE DEBRIS
• Evaluation of a Deep Neural Network for Automated Classification of Colorectal Polyps on Histopathologic Slides
• Pill Detection & Prescription Analysis
• A Survey of Deep Learning for Scientific Discovery
• Animal Detection in Man-made Environments
• Vessel lumen segmentation in carotid artery ultrasounds with the U-Net convolutional neural network
• Convolutional-Neural Network-Based Image Crowd Counting: Review, Categorization, Analysis, and Performance Evaluation
• Real-time Bhutanese license plate localization using YOLO
• CTHULHU: The Design and Implementation of Duke Robotics Club’s 2019 AUVSI Competition Entry
• Support system for decision making in the phenotypic Evaluation of brown swiss cattle using image processing and augmented reality
• Detecting and mapping traffic signs from Google Street View images using deep learning and GIS
• Training Sample Generation Software
• SEMANTIC PHOTOGRAMMETRY: BOOSTING IMAGE-BASED 3D RECONSTRUCTION WITH SEMANTIC LABELING
• Reducing the Pain: A Novel Tool for Efficient Ground-Truth Labelling in Images
• Individual tree-crown detection in RGB imagery using self-supervised deep learning neural networks
• Beef Cattle Instance Segmentation Using Mask R-Convolutional Neural Network
• FingerReader2.0: Designing and Evaluating a Wearable Finger-Worn Camera to Assist People with Visual Impairments while Shopping
• Fashion Object Detection and Pixel-Wise Semantic Segmentation
• Mobile Object Detection using TensorFlow Lite and Transfer Learning
• Deep learning in Dynamic Imager
• A machine learning approach for jaundice detection using color corrected smartphone images
• SCREEN-DR - Software Architecture for the Diabetic Retinopathy Screening
• Faster R-CNN-Based Glomerular Detection in Multistained Human Whole Slide Images