This extensive collection offers a wealth of information on various LEGO products, providing invaluable insights into the LEGO universe. With our dataset, you can delve into a multitude of data points, empowering you to unlock a deeper understanding of LEGO products and their attributes. Explore details such as age range, availability, brand, colors, dimensions, discounts, inventory, product descriptions, ratings, reviews, pricing, and more.

The dataset extracted from Lego's website contains information on each of the products available in April 2023, including their code, theme, name, price, rating, number of pieces, VIP points, link to the product and date of scraping. With a total of 759 records, this dataset provides a broad sample of the variety of products offered by Lego, making it a valuable source of information for analytical projects in different areas, from market analysis to customer preference studies. In addition, the data has been collected using efficient and appropriate web scraping techniques, ensuring the quality and accuracy of the information obtained.

Dataset Card for LegoBricks

  Dataset Summary

3D images of LEGO Parts. Dataset contains the 1000 most common LEGO parts (according to the rebrickable database). Each part has 400 images of different rotation angles and colors. Colors are sampled randomly, weighted by number of occurences for that part and color in the database. The dataset contains a train split with 1000 classes, each represented by 400 images. Class names are the LEGO part IDs. These ids can be used to… See the full description on the dataset page: https://huggingface.co/datasets/pvrancx/legobricks.

Object Detection Lego

## Overview

Object Detection Lego is a dataset for object detection tasks - it contains Legoblocks annotations for 800 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Pieces LEGO

## Overview

Pieces LEGO is a dataset for object detection tasks - it contains Eline De Kermadec Lucie Loisy annotations for 652 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Dataset Card for Dataset Name

Database for lego sorter model uploaded This dataset card aims to be a base template for new datasets. It has been generated using this raw template.

  Dataset Details





  Dataset Description

Sample database for the my lego sorter model uploaded Contains both sample images from each class as well as a numpy array file (.npy) that contains every image (~6000) used to train the model. The numpy file was created so that the dataset could… See the full description on the dataset page: https://huggingface.co/datasets/magichampz/lego-technic-pieces.

Context

I was looking to do some LEGO sorting using object detection (my friend is building the actual sorter, I'm writing the software)

I looked around for labeled datasets, but couldn't find any good ones. The ones I did find were fairly limited (basic parts, not enough variation, black background, no bounding boxes, etc.) (example: https://www.kaggle.com/marwin1665/synthetic-lego-images-images22) (all: https://www.kaggle.com/datasets?search=lego)

So I scripted Blender to generate a synthetic dataset for 600 unique lego parts with multiple parts per image.

What's cool about this dataset

• It's the largest publicly available LEGO dataset for object detection
• Uses SoTA domain randomization techniques to bridge the sim-to-real gap
• Cheap to generate more data with DreamFactor

I'd love to know if people find this useful or interesting, I can also release the trained PyTorch model as well 😇

Acknowledgements

• LDraw parts library
• Blender

We often create dioramas from LEGO bricks for use with our presentations, blogs, and social media posts. We find it's much more fun and effective to reenact meetings and other scenes than to try and use real-life images. It also saves us from the hassle of worrying about receiving permission to use a person's photo in our work. By popular demand, we have released some of our favorite images as open data for you to use.

There are several images in different poses or with different environments for each Minifigure in the dataset. You can use this dataset for the image classification tasks or try to create more interesting things.

In 2024, the LEGO Group's revenue amounted to about 74.3 billion Danish kroner, which equates to roughly 10 billion euros. This is up from the estimated 66 billion Danish kroner recorded a year earlier. LEGO LEGO is a privately held consumer product company engaged in the manufacture and distribution of a wide range of toys, video games and online games. It also offers creativity development products for children, as well as innovative playing and learning techniques. LEGO is one of the top ranked major toy companies in the world, based on revenue, ahead of companies such as Mattel and Hasbro. The company’s products are sold in more than 130 countries and in 2024 employed more than 26,700 people. The company, together with its subsidiaries, operates in Europe, the Americas, Africa, Asia and Australia. Lego-themed theme parks It is the LEGO philosophy that ‘good quality play’ enriches a child’s life – and lays the foundation for later adult life. They believe that play is a key element in children's growth and development, and stimulates the imagination, the emergence of ideas and creative expression.The company also co-owns a chain, along with Merlin Entertainments, of Lego-themed theme parks. The chain currently consists of 10 parks around the world, including: Legoland Billund, Legoland Windsor, Legoland Deutschland, Legoland Malaysia, Legoland California and Legoland Florida.

simple-lego-pickup-mono-2

This dataset was generated using a phospho dev kit. This dataset contains a series of episodes recorded with a robot and multiple cameras. It can be directly used to train a policy using imitation learning. It's compatible with LeRobot and RLDS.

According to Cognitive Market Research, The Global Lego Class Blocks Market will expand at a compound annual growth rate (CAGR) of 5.10% from 2023 to 2030.

Technology integration in Education drives the Lego Class Blocks market, aligning seamlessly with STEM initiatives and fostering hands-on learning.
Plastic emerges as the dominant category in the Lego Class Blocks market.
The Offline Sales Channel takes the lead as the dominant category in the Lego Class Blocks market.
North American Lego Class Blocks will continue to lead, whereas the European Lego Class Blocks Market will experience the most substantial growth until 2030.

Unleashing the Potential of Lego Class Blocks as Catalysts for STEM Education Initiatives To Boost Market Growth

The integration of technology in educational settings becomes a pivotal driver for the Lego Class Blocks market. As educational institutions embrace STEM (Science, Technology, Engineering, and Mathematics) initiatives, Lego Class Blocks align seamlessly with these curricular goals, offering a hands-on approach to learning essential technical concepts. The marriage of traditional building blocks with technological components enhances the educational value, fostering interest in STEM subjects and driving the adoption of Lego Class Blocks as an effective and engaging educational tool.

Pivotal Role of Lego Class Blocks in Nurturing Cognitive and Motor Skills in Young Learners to Drive Market Expansion

An increasing awareness of the importance of early childhood development acts as a driver for the Lego Class Blocks market. Parents and educators recognize the crucial role of constructive play in fostering cognitive and motor skills in young children. Lego Class Blocks, with their tactile nature and emphasis on creativity, become instrumental in this developmental process. As awareness grows regarding the long-term benefits of such play in early childhood, there is a corresponding rise in the demand for Lego Class Blocks as a favored educational toy that contributes to the holistic development of young minds.

Growth of homeschooling is boosting market growth

Market Dynamics of the Lego Class Blocks

Key Drivers for LEGO Class Blocks Market

Strong Appeal in Educational and Cognitive Development: LEGO blocks are extensively utilized in both educational institutions and households to enhance problem-solving abilities, spatial awareness, and fine motor skills among children. Their alignment with STEAM (Science, Technology, Engineering, Arts, Mathematics) curricula renders them indispensable resources in early childhood education settings.

Expanding Adult Fan Base and Collector Culture: The market has evolved beyond just children—AFOLs (Adult Fans of LEGO) are now a significant force driving the demand for intricate models, architectural kits, and themed collaborations. This group plays a crucial role in boosting sales of premium sets and high-margin product lines.

Continuous Innovation and Licensing Partnerships: LEGO regularly introduces new collections associated with popular franchises such as Star Wars, Harry Potter, and Marvel. These partnerships not only attract a wider audience but also maintain ongoing interest across various age demographics through engaging storytelling and relevance to pop culture.

Key Restraints for LEGO Class Blocks Market

Higher Price Compared to Generic Options: LEGO blocks are more expensive than numerous compatible or imitation brands. For budget-conscious buyers, particularly in developing regions, the price difference may discourage purchases, even with LEGO’s superior quality and brand reputation.

Market Overload and Limited Product Distinction: Regular product introductions can create an overwhelming array of choices and diminish novelty. While LEGO upholds its quality, consumers might perceive newer sets as redundant or overly similar to earlier releases, which could restrict repeat purchases.

Environmental Concerns Regarding Plastic Use: Despite LEGO's commitment to sustainability, traditional blocks are predominantly manufactured from petroleum-based ABS plastic. Growing environmental scrutiny and the rising demand for eco-friendly toys may pose challenges to the brand’s image in markets that prioritize sustainability.

Key Trends for LEGO Class Blocks Market

Sustainable Product Innovation and Green Materials: LEGO is making si...

mobilealohafalkenberg/lego dataset hosted on Hugging Face and contributed by the HF Datasets community

LEGO-Puzzles: How Good Are MLLMs at Multi-Step Spatial Reasoning?

Kexian Tang1,2*, Junyao Gao1,2*, Yanhong Zeng1†, Haodong Duan1†, Yanan Sun1, Zhening Xing1, Wenran Liu1, Kaifeng Lyu3‡, Kai Chen1‡ 1Shanghai AI Laboratory 2Tongji University 3Tsinghua University*Equal contribution. †Project Leads. ‡Corresponding Authors.

  🎉 News

[2025/04/08] The benchmark and evaluation code have been released! Have fun 😃 . [2025/03/25]… See the full description on the dataset page: https://huggingface.co/datasets/KexianTang/LEGO-Puzzles.

The Mutant and LEGO dataset is a dynamic scene dataset. It contains 90% images for training and 10% images for evaluation.

Historical AI model predictions and analysis for Limited Edition Lego Sets stock across multiple timeframes and confidence levels

OxxoCodes/lego-mt-tsn dataset hosted on Hugging Face and contributed by the HF Datasets community

In 2024, the Lego Group's revenue grew by 14 percent when compared to the previous year. The toy manufacturer had a global revenue of nearly 10 billion euros in 2024.

The online revenue of lego.com amounted to US$668.1m in 2024. Discover eCommerce insights, including sales development, shopping cart size, and many more.

This dataset was created using LeRobot.

  Dataset Structure

meta/info.json: { "codebase_version": "v2.1", "robot_type": "so101_follower", "total_episodes": 14, "total_frames": 11407, "total_tasks": 1, "total_videos": 14, "total_chunks": 1, "chunks_size": 1000, "fps": 30, "splits": { "train": "0:14" }, "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet", "video_path":… See the full description on the dataset page: https://huggingface.co/datasets/Piflyer/lego-set.