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Which is more popular?
Based on our record, PostImage.org
seems to be more popular. It has been mentioned
343 times
since March 2021.
social mentions
343 vs 0
Photos & Graphics popularity
100% vs 0%
Base details
Website, pricing, platforms and company facts side by side.
Free Service PostImage.org offers free image hosting, making it accessible for anyone who wants to upload and share images without worrying about cost.
User-Friendly Interface The website has a simple and easy-to-use interface that allows users to upload images quickly without any technical hassle.
No Registration Required Users can upload images without having to create an account, which speeds up the process and enhances convenience.
Multiple Upload Options Supports various upload methods including drag-and-drop, file selection, and even direct web URLs for added flexibility.
Various Resize Options Allows users to resize images during the upload process, providing utility for different use cases such as forums, websites, and more.
Permanent Image Links Generates direct links, BBCode, and HTML code for easy sharing and embedding, which are intended to be permanent.
Possible disadvantages
Image Moderation As free hosting, there is a possibility of images being removed if they are found to violate their terms of service, leading to potential broken links.
Ads on the Website The free service is ad-supported, and users might experience advertisements while navigating the website.
Limited Support Lack of customer support options may be a drawback for users who need assistance with issues or have specific requirements.
Image Size Limits There are limits on the size of images that can be uploaded (currently 24MB), which may be restrictive for high-resolution or professional media files.
No Advanced Features The service lacks advanced features that might be found in paid image hosting options, such as extensive privacy settings or advanced image editing.
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.
PostImage.orgLightly
Overall verdict
PostImage.org is generally considered a good option for those in need of simple and free image hosting, particularly for personal or small-scale use. Its ease of use and convenience make it a popular choice among casual users.
Why this product is good
PostImage.org is a popular image hosting service because it offers a straightforward, user-friendly interface for uploading and sharing images. It does not require an account for basic usage, supports various image formats, and offers direct links to images for easy sharing on forums and social media. Additionally, it provides unlimited storage and allows resizing of images during upload.
Recommended for
Individuals needing a quick and simple way to upload and share images online.
Users participating in forums or platforms where sharing image links is common.
People looking for a hassle-free image hosting service without account registration.
Those who require basic image resizing options during the upload process.
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...
Moreover, you can add image uploading to your message board, blog, or website with the PostImage plugin. The images uploaded via this tool are saved to PostImages’ servers, saving you storage space, bandwidth, and the...
You can create a large gallery with all your favourite photos. Each one will have a unique link that allows you to share them immediately with others. PostImage lets you choose the size of the final image, as well as...
Local images won't share directly, upload the images in postimages or imgbb first, use the url in the meta tags. Then click the extension again to create a new sharer link!
- Source: dev.to
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over 2 years ago
Topography [3440x1440]
I think sometimes the png downloaded from here may be compressed too. Compare the file sizes. From now on I think I will use postimages.org to supplement my posts. It is quick and easy to use. Maximum 10,000 pixels images make note.
Source:
almost 3 years ago
Surface Interpolation
You can host the image free (e.g. https://postimages.org/) and drop a link here. I don't understand the role of the ray in the fitting. Or is it that you want to just intersect the ray with the surface after fitting? In that case your...
Source:
almost 3 years ago
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