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Which is more popular?
Based on our record, Flaticon
seems to be more popular. It has been mentioned
27 times
since March 2021.
social mentions
27 vs 0
Web Icons popularity
100% vs 0%
Base details
Website, pricing, platforms and company facts side by side.
Wide Selection Flaticon offers a vast collection of over 4 million icons, ensuring users can find icons for almost any need.
Quality Icons on Flaticon are professionally designed, ensuring high-quality visuals and a polished look for projects.
Customization Flaticon provides tools to customize icon colors and sizes directly on the platform, making it easy to match project designs.
Freemium Model Flaticon operates on a freemium model, offering a substantial number of icons for free which can be a significant advantage for budget-conscious users.
Formats Icons are available in various formats, including PNG, SVG, EPS, PSD, and BASE 64, providing flexible use across different platforms.
Ease of Use The website is user-friendly, with a straightforward search and filtering system, making it easy to find and download icons quickly.
Collection Functionality Users can create and manage collections of icons for better organization and easy access to frequently used icons.
Possible disadvantages
Attribution Requirement Free icons require attribution to the source, which can be inconvenient or aesthetically unappealing for some projects.
Subscription Cost The premium subscription, which removes attribution requirements and provides access to additional features, can be expensive for some users.
License Restrictions There may be licensing restrictions on certain icons, limiting their use in commercial projects without a premium subscription.
Variable Quality While many icons are of high quality, some may not meet professional standards, requiring users to sift through options to find the best ones.
Potential Overuse Popular icons might be overused in various projects, potentially making them less unique or impactful.
Dependency on Internet Connection Access to the platform and its features requires an internet connection, which can be a limitation in environments with poor connectivity.
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.
FlaticonLightly
Overall verdict
Yes, Flaticon is a good platform for individuals and professionals seeking diverse and customizable icon options. Its comprehensive library and user-friendly interface make it a valuable resource for graphic and web designers, developers, and educators.
Why this product is good
Flaticon is a popular resource for high-quality, customizable icons. It offers an extensive library with millions of icons available in various styles such as flat, outline, filled, and more. Users appreciate its ease of use, the ability to download icons in multiple formats like PNG and SVG, and its integration capabilities with tools like Adobe Illustrator and Microsoft PowerPoint. Additionally, the platform is continuously updated, ensuring a fresh variety of icon designs for different needs.
Recommended for
Graphic designers
Web developers
UI/UX designers
Content creators
Educators
Marketing professionals
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
In Flaticon, you will find vectors or embed icons that can be completely edited and used for any one or more of your personal or commercial projects. With over 2.3 million vector icons library organized into 51202...
Flaticon is easily the largest collection of icons in the world and an amazing alternative to Fontello. It gives you over 5.7 million icons and stickers to choose from, all arranged into categories to enable you...
Recommendations tracked on public social media and blogs since March 2021.
Flaticon27 mentionsLightly0 mentions
Cricut Joy Owners- I have questions...
-Can I use non-Cricut images (i.e. Images from flaticon.com to make my stickers) using the Cricut software?
Source:
about 3 years ago
Seeking Advice on Adding Illustrations to Self-Published Book: How Can I Obtain Them for Free?
Its my first time to know about "flaticon.com". Thank you! I dont know how to use it.
Source:
over 3 years ago
Seeking Advice on Adding Illustrations to Self-Published Book: How Can I Obtain Them for Free?
I'm confused - you're packaging your creative work to be purchased but expect others to hand over theirs for free? Because illustration is a very detailed skill. Or are you looking for a resource like flaticon.com?
Source:
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.
