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

Reinforced Brick Masonry01:15

Reinforced Brick Masonry

1.2K
Reinforced brick masonry is an advanced construction technique that enhances the structural integrity of brick walls by incorporating steel reinforcements. These reinforcements are either placed within the hollow cores of bricks or sandwiched between two layers of masonry, known as wythes, and are then secured in place with grout. Grout is a fluid mixture composed of Portland cement, aggregate, and water, providing the necessary bonding agent for the steel and brick.
To fortify brick walls...
1.2K
Brick Sizes01:21

Brick Sizes

130
Brick sizing plays a crucial role in construction, influencing both the aesthetics and structural integrity of buildings. Bricks are defined by three dimensions: width, thickness, and length. They are commonly designed to fit modular measurements, typically in multiples of 4 inches or 8 inches in width, to facilitate uniform construction and compatibility with other building materials.
Modular bricks are the most common type and are sized to include the mortar joint, which is essential for...
130
Bricks01:14

Bricks

139
Bricks, a fundamental building material, are crafted from fired clay and exhibit a range of shapes, sizes, and colors. The production process starts with extracting local clay or shale, which is then crushed, ground, and screened for a fine texture. The refined material is blended with water, creating a pliable mixture that can be formed into bricks using one of three processes: soft mud, dry press, or stiff mud methods.
Soft mud bricks are shaped in molds with high moisture content and can be...
139
Brick Durability, Strength, and Appearance01:15

Brick Durability, Strength, and Appearance

285
Brick durability, strength, and appearance are crucial factors in construction, influencing the choice of bricks for specific applications. The process of freeze-thaw, for instance, significantly affects brick durability. This phenomenon occurs when water absorbed by a brick expands as it freezes, potentially causing damage when it melts and refreezes. Bricks are graded for durability: SW-grade bricks are the most durable, offering high strength and low water absorption, followed by MW-grade...
285

You might also read

Related Articles

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

Sort by
Same author

Toward robust modeling of breast biomechanical compression: an extended study using graph neural networks.

Journal of medical imaging (Bellingham, Wash.)·2025
Same author

<i>MAM-E</i>: Mammographic Synthetic Image Generation with Diffusion Models.

Sensors (Basel, Switzerland)·2024
Same author

Multi-vendor robustness analysis of a commercial artificial intelligence system for breast cancer detection.

Journal of medical imaging (Bellingham, Wash.)·2023
Same author

Automatic mass detection in mammograms using deep convolutional neural networks.

Journal of medical imaging (Bellingham, Wash.)·2022
Same author

Visual Attention and Color Cues for 6D Pose Estimation on Occluded Scenarios Using RGB-D Data.

Sensors (Basel, Switzerland)·2021
Same author

Semantic Mapping for Autonomous Subsea Intervention.

Sensors (Basel, Switzerland)·2021

Related Experiment Video

Updated: Aug 8, 2025

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
08:27

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Published on: January 5, 2024

1.2K

Brickognize: Applying Photo-Realistic Image Synthesis for Lego Bricks Recognition with Limited Data.

Joel Vidal1,2, Guillem Vallicrosa2, Robert Martí1

  • 1Computer Vision and Robotics Institute, University of Girona, 17003 Girona, Spain.

Sensors (Basel, Switzerland)
|February 28, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces photo-realistic image synthesis and few-shot fine-tuning to improve deep learning for recognizing Lego bricks with limited data. The approach effectively uses synthetic data and a small real-world dataset for accurate recognition in various scenarios.

Keywords:
deep learningimage synthesislimited dataobject recognitionphoto-realistic rendering

More Related Videos

Deep Neural Networks for Image-Based Dietary Assessment
13:19

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

9.3K
Designing and Implementing Nervous System Simulations on LEGO Robots
10:34

Designing and Implementing Nervous System Simulations on LEGO Robots

Published on: May 25, 2013

15.1K

Related Experiment Videos

Last Updated: Aug 8, 2025

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
08:27

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Published on: January 5, 2024

1.2K
Deep Neural Networks for Image-Based Dietary Assessment
13:19

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

9.3K
Designing and Implementing Nervous System Simulations on LEGO Robots
10:34

Designing and Implementing Nervous System Simulations on LEGO Robots

Published on: May 25, 2013

15.1K

Area of Science:

  • Computer Vision
  • Machine Learning
  • Robotics

Background:

  • Supervised deep convolutional neural networks (CNNs) excel at image recognition but require extensive labeled data.
  • Data acquisition and labeling are significant challenges, hindering CNN application in data-scarce domains like Lego brick recognition.
  • Existing deep learning models struggle with limited datasets, impacting real-world applications.

Purpose of the Study:

  • To address the challenge of limited training data for object recognition tasks, specifically for Lego bricks.
  • To evaluate the effectiveness of photo-realistic image synthesis and few-shot fine-tuning in overcoming data scarcity.
  • To develop a robust Lego brick recognition system capable of performing well in both controlled and uncontrolled environments.

Main Methods:

  • Utilized photo-realistic image synthesis to generate a large dataset of Lego brick images.
  • Employed few-shot fine-tuning using a small set of 20 real-world Lego brick images.
  • Evaluated the system on both controlled and uncontrolled real-world testing datasets.

Main Results:

  • Synthetically generated data demonstrated strong performance for training deep learning models.
  • Few-shot fine-tuning successfully adapted the model to real-world conditions using minimal data.
  • Achieved high accuracy with an AP50 of 91.33% in uncontrolled scenarios and 98.7% in controlled scenarios.

Conclusions:

  • Photo-realistic image synthesis combined with few-shot fine-tuning is a viable solution for data-limited object recognition.
  • The proposed method enables effective Lego brick recognition even with a small number of real-world training examples.
  • This approach significantly expands the applicability of deep learning in scenarios with restricted data availability.