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Which is more popular?
Based on our record, Flickr
seems to be more popular. It has been mentioned
31 times
since March 2021.
social mentions
31 vs 0
Photos & Graphics popularity
100% vs 0%
Base details
Website, pricing, platforms and company facts side by side.
High-Quality Photo Storage Flickr provides a platform for photographers to upload and store high-resolution images, ensuring that the quality of the photos is maintained.
Community Engagement Flickr has a robust community of photographers and photography enthusiasts, making it a great place for users to share their work, receive feedback, and engage with others.
Organizational Tools Flickr offers advanced organizational tools such as albums, tags, and collections that make it easy for users to manage and categorize their photos.
Privacy Controls Users can set different privacy levels for their photos, allowing them to control who can see and comment on their images.
Compatibility with Other Platforms Flickr integrates well with other services and platforms, providing options for sharing photos directly to social media or embedding them in websites.
Possible disadvantages
Storage Limitations Free accounts on Flickr have limited storage, with only 1,000 photos or videos allowed, which may not be sufficient for professional photographers.
Subscription Costs To access unlimited storage and other premium features, users need to subscribe to Flickr Pro, which involves a recurring cost.
User Interface Some users find Flickr's user interface to be less intuitive and outdated compared to other modern photo-sharing platforms.
Content Moderation There have been instances where Flickr's content moderation policies have been criticized, either for being too stringent or not sufficient.
Competition Flickr faces stiff competition from other photo-sharing platforms like Instagram and Google Photos, which offer more seamless integration with mobile devices.
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.
FlickrLightly
Overall verdict
Overall, Flickr is considered a good platform for people passionate about photography due to its high-quality photo display options and active community. However, some users might find its user interface slightly outdated compared to newer services.
Why this product is good
Flickr is a widely-known platform, especially popular among photographers and artists, for sharing and discovering photographs. It offers functionalities such as organized photo galleries, a robust tagging system, and community interactions. It's also used as a cloud storage platform for photos and videos.
Recommended for
Photographers looking to showcase their work
Artists interested in a community-focused platform
Individuals needing a place to upload and organize high-quality photos
People who enjoy exploring a vast array of photographic content
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
The best Imgur alternative depends on what you used Imgur for. For quick links without an account, PictureToLink and ImgBB are the closest match; for forum posting, Postimages offers ready-made forum codes and a 32 MB...
Flickr does what it says on the box pretty well — it lets you host and share images. You can store, sort, and search for online videos from several categories, including by name, activity, upload date, etc. You can...
While it’s typically thought of as an associate degree image-sharing website to host picture albums for free, Flickr is additionally nice for picture storage and organization. Sadly, its quality has been tempered...
Flickr, a Canadian photo community that pioneered social web 2.0.
- Source: dev.to
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over 1 year ago
Instagram alternatives for promoting business, now that EU laws messed it up?
Is flickr.com still alive? It used to be so cool back in the day, but I dropped off from photography in general over like the past decade, so have no clue how things are going over there.
Source:
about 3 years ago
20mm or 35mm prime lens
20mm will look wider on your Z6II than your D40x but it should look the same as it does on any other FX body like the D780 or the D850. Go on flickr.com and search for photos taken with 20mm lenses. You can type 20mm in the search bar. ...
Source:
over 3 years ago
Instagram is a mobile, desktop, and Internet-based photo-sharing application and service that allows users to share pictures and videos either publicly, or privately to pre-approved followers.
SmugMug is a platform that allows amateurs and professional photographers to host their pictures and create a virtual gallery for promoting and selling their work.
