Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Assessment of the Cardiovascular System II: Inspection01:29

Assessment of the Cardiovascular System II: Inspection

825
Inspection is the initial step in assessing the cardiovascular system. It involves a detailed visual examination that provides crucial information about a patient's circulatory and cardiac health. This systematic process, conducted from head to toe, helps identify signs of cardiovascular conditions by observing physical appearance, skin and mucous membranes, jugular and carotid pulsations, chest symmetry, and the condition of the extremities.
Head and Neck
825
Assessment of the Abdomen I: Inspection and Auscultation01:25

Assessment of the Abdomen I: Inspection and Auscultation

2.0K
Introduction
The abdominal examination is a cornerstone of clinical medicine, serving as a critical tool in diagnosing various gastrointestinal (GI) diseases. It involves a systematic approach that includes inspection and auscultation, each with distinct yet complementary roles in assessing the abdomen. This article will delve into these two primary methods healthcare professionals use to examine the abdomen.
Inspection of the Abdomen
The first step in any abdominal examination is inspection....
2.0K
Synthetic Biology02:55

Synthetic Biology

5.5K
Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
Golden rice
Golden rice is a genetically modified...
5.5K
Physical Assessment of the Respiratory Tract II: Inspection01:27

Physical Assessment of the Respiratory Tract II: Inspection

873
Physical assessment of the respiratory tract through inspection is a crucial step in understanding the patient's respiratory health. It provides insights into the functioning of the respiratory system, the musculoskeletal structure, and even the patient's nutritional status. This comprehensive approach involves observing several vital aspects: chest configuration, breathing patterns, respiratory rates, skin color, and use of accessory muscles.
Chest Configuration
The chest configuration...
873
Respiratory System Abnormal Finding I: Inspection and Percussion01:30

Respiratory System Abnormal Finding I: Inspection and Percussion

803
Respiratory system abnormalities are a significant concern in healthcare due to their potential to indicate underlying severe conditions like Chronic Obstructive Pulmonary Disease (COPD), asthma, and pneumonia. These abnormalities can often be detected through physical examination methods like inspection and percussion.
Inspection Findings
During an inspection, several findings may suggest the presence of respiratory distress or disease. Pursed-lip breathing, where exhalation is slowed by...
803
Cardiovascular System Abnormal Findings I: Inspection and Palpation01:29

Cardiovascular System Abnormal Findings I: Inspection and Palpation

851
In a cardiovascular examination, inspection and palpation are crucial for identifying abnormalities.
Abnormal findings observed during an inspection
851

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Hepatocellular Carcinoma Recognition from Ultrasound Images Using Combinations of Conventional and Deep Learning Techniques.

Sensors (Basel, Switzerland)·2023
Same author

Enhanced Perception for Autonomous Driving Using Semantic and Geometric Data Fusion.

Sensors (Basel, Switzerland)·2022
Same author

Robust Data Association Using Fusion of Data-Driven and Engineered Features for Real-Time Pedestrian Tracking in Thermal Images.

Sensors (Basel, Switzerland)·2021
Same author

Comparison of Deep-Learning and Conventional Machine-Learning Methods for the Automatic Recognition of the Hepatocellular Carcinoma Areas from Ultrasound Images.

Sensors (Basel, Switzerland)·2020

Related Experiment Video

Updated: Jan 26, 2026

Methods of Soil Resampling to Monitor Changes in the Chemical Concentrations of Forest Soils
09:16

Methods of Soil Resampling to Monitor Changes in the Chemical Concentrations of Forest Soils

Published on: November 25, 2016

17.3K

Forest Inspection Dataset: A Synthetic UAV Dataset for Semantic Segmentation of Forest Environments.

Bianca-Cerasela-Zelia Blaga1, Sergiu Nedevschi2

  • 1Department of Computer Science, Technical University of Cluj-Napoca, Cluj, Romania. zelia.blaga@cs.utcluj.ro.

Scientific Data
|January 24, 2026
PubMed
Summary

A new synthetic aerial dataset for forest inspection using unmanned aerial vehicles (UAVs) was created. This dataset aids in developing semantic segmentation models for enhanced forest monitoring and computer vision applications.

More Related Videos

Simulating Impacts of Ice Storms on Forest Ecosystems
06:27

Simulating Impacts of Ice Storms on Forest Ecosystems

Published on: June 30, 2020

7.4K
Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring
08:16

Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring

Published on: October 24, 2025

539

Related Experiment Videos

Last Updated: Jan 26, 2026

Methods of Soil Resampling to Monitor Changes in the Chemical Concentrations of Forest Soils
09:16

Methods of Soil Resampling to Monitor Changes in the Chemical Concentrations of Forest Soils

Published on: November 25, 2016

17.3K
Simulating Impacts of Ice Storms on Forest Ecosystems
06:27

Simulating Impacts of Ice Storms on Forest Ecosystems

Published on: June 30, 2020

7.4K
Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring
08:16

Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring

Published on: October 24, 2025

539

Area of Science:

  • Computer Vision
  • Remote Sensing
  • Forestry

Background:

  • Accurate forest monitoring is crucial for environmental management.
  • Unmanned Aerial Vehicles (UAVs) offer a flexible platform for aerial data acquisition.
  • Semantic segmentation is vital for analyzing aerial imagery in complex environments like forests.

Purpose of the Study:

  • To introduce the Forest Inspection dataset, a novel synthetic aerial image collection.
  • To provide a resource for training and evaluating semantic segmentation models for UAV-based forest inspection.
  • To facilitate advancements in computer vision for forest scene understanding.

Main Methods:

  • Generation of synthetic high-resolution RGB images in a photorealistic virtual forest environment using AirSim.
  • Creation of dense, pixel-level semantic labels for 11 distinct forest-related classes.
  • Simulation of UAV flights at varying altitudes (30m, 50m, 80m) and camera pitch angles (0°, 60°, 90°) under different weather conditions (sunny, overcast).

Main Results:

  • The Forest Inspection dataset comprises paired RGB images and semantic labels.
  • The dataset includes UAV pose metadata for spatial context.
  • Images capture diverse observation conditions relevant to real-world forest inspection scenarios.

Conclusions:

  • The Forest Inspection dataset is a valuable resource for the computer vision and forestry research communities.
  • It supports the development of robust semantic segmentation models for UAV applications.
  • This dataset will advance UAV-based forest scene understanding and inspection capabilities.