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Which is more popular?
Based on our record, unDraw
seems to be more popular. It has been mentioned
71 times
since March 2021.
social mentions
71 vs 0
Design Tools popularity
100% vs 0%
Base details
Website, pricing, platforms and company facts side by side.
Free to Use unDraw offers a wide range of illustrations for free, making it accessible for anyone without budget constraints.
Customizable Colors Users can easily change the color of any illustration to match their brand's color palette.
No Attribution Required The platform allows users to utilize the illustrations without the need to give credit, which is great for commercial projects.
High Quality The illustrations are of high quality, professional, and modern, making them suitable for various applications.
Broad Range of Topics unDraw covers a wide array of categories and topics, making it easier to find relevant illustrations.
Ease of Use The website interface is user-friendly, allowing for quick searches and easy downloads of illustrations.
Possible disadvantages
Limited Styles Although high-quality, the illustrations have a uniform style, which might not fit every brand's aesthetic.
No Custom Illustrations Users cannot request custom illustrations directly from the platform, limiting personalized options.
Dependence on Updates Users rely on the platform to update and add new illustrations periodically, which may not always meet evolving trends or needs.
No Source Files Illustrations are only available in SVG format, which might be limiting for more advanced design modifications requiring source files.
Requires Internet Access An active internet connection is required to browse and download illustrations, which may not be convenient for all users.
Efficient Data Curation Lightly uses active learning and self-supervised learning techniques to help teams select the most valuable and diverse subset of data for labeling, reducing the amount of data needed for training while maintaining model performance.
Reduces Labeling Costs By intelligently selecting which images or videos to label, Lightly can significantly cut down on the manual annotation costs and time required for building computer vision datasets.
Self-Supervised Learning Integration The platform leverages self-supervised learning methods to extract meaningful embeddings from unlabeled data, enabling better understanding of dataset structure and redundancy before labeling.
Scalable for Large Datasets Lightly is designed to handle large-scale image and video datasets, making it suitable for enterprises dealing with massive amounts of visual data in computer vision projects.
Integration with ML Workflows Lightly offers APIs and integrations that allow it to fit into existing machine learning pipelines, working alongside popular annotation tools and cloud storage solutions.
Possible disadvantages
Learning Curve Teams new to active learning and self-supervised learning concepts may face a learning curve in understanding how to best utilize Lightly's data curation capabilities.
Narrow Use Case Focus Lightly is primarily focused on computer vision data curation, which may limit its usefulness for teams working with other data types such as text, audio, or tabular data.
Dependency on Data Quality The effectiveness of Lightly's curation algorithms depends heavily on the quality and representativeness of the initial dataset, which can limit results if the source data is poor.
Pricing for Smaller Teams Depending on the pricing tier, smaller teams or individual developers might find the cost of enterprise-level data curation features less accessible compared to open-source alternatives.
Requires Technical Expertise Effectively leveraging Lightly's advanced features like self-supervised learning models may require a certain level of machine learning expertise, which could be a barrier for less technical teams.
Analysis
An editorial look at what each product does well and who it suits.
unDrawLightly
Overall verdict
unDraw is a highly recommended resource for individuals and teams looking for high-quality illustrations. Its combination of ease of use, free licensing, and a wide variety of illustrations makes it a valuable tool for many creatives and developers.
Why this product is good
unDraw is a platform that offers a wide range of open-source illustrations that are customizable and can be used in various projects without any attribution or cost. It is praised for its beautiful, modern, and versatile designs that can enhance the visual appeal of websites, applications, and presentations. Additionally, the illustrations are SVG-based, making them easily scalable and editable to fit the needs of any project.
Recommended for
Web designers looking to incorporate visually appealing illustrations
Developers needing scalable graphics for projects
Marketing teams creating visually rich presentations
Content creators who want graphics that can be customized to match their brand's style
Educators needing visual aids for teaching materials
Overall verdict
Lightly is a solid, well-regarded platform for data curation and active learning in computer vision, offering strong tooling for selecting the most valuable images/frames to label, which helps teams reduce annotation costs and improve model performance efficiently.
Why this product is good
Focuses on smart data selection and curation, helping avoid wasted labeling budget on redundant data
Offers both open-source (Lightly SSL) and commercial (Lightly Worker/Platform) options for flexibility
Uses self-supervised learning techniques to find diverse, representative, or edge-case samples
Integrates with common MLOps and labeling tools, fitting into existing computer vision pipelines
Scales to large unlabeled datasets, making it useful for teams with massive raw data but limited labeling resources
Provides visualization and embedding tools to explore dataset distribution and detect biases or gaps
Recommended for
Computer vision teams looking to reduce labeling costs through smarter data selection
ML engineers building active learning pipelines
Companies with large volumes of unlabeled image or video data
Teams wanting to improve model performance by curating more diverse or representative training sets
Organizations needing to detect dataset bias, redundancy, or edge cases before annotation
UnDraw - A constantly updated collection of beautiful SVG images that you can use completely free without attribution.
- Source: dev.to
/
almost 3 years ago
Thanks! That's good feedback, currently the images are selected from the open source collection at https://undraw.co, but as a next step we'll add the option for AI generated images.
- Source: Hacker News
/
over 3 years ago
When an open-source pack runs out halfway through a project, switch to Icons8 and get the whole set in one style. 1.5M+ icons and 110,000+ illustrations for designers, developers, and AI agents.
Unsplash is a website with high-quality free HD images. It has a catalog of more than three hundred thousand striking images that are neatly organized with tags. Read more about Unsplash.
