We are looking for experienced and budding writers, data scientists, machine learning engineers & students to curate content for our community and audiences. We encourage you to create a Medium account as this ensures you remain the only owner of your posts and this complies with the Medium Terms of Service.
If you’d like to earn money for your posts, we encourage you to earn money through the Medium Partner Program. Based on engagement from Medium members (Especially if you write quality content picked up for curation by Medium) you can earn money behind Medium’s metered paywall.
As a writer…
Freedom of speech typically allows social media users to express their views on anyone and any possible topic without thinking much. There is no fixed way to object to any content if it is harmful or hurting the sentiments of individuals, religions, groups, etc. Sometimes the user frames the content in such a way that surpasses the primary screening systems which the companies implement.
In today’s times, almost every business wants to defend its brand value from the detestable content which includes profanity, hate speech, offensive gestures, obscene pictures, nudity, etc. …
Data annotation is the process of labeling the data to make it understandable or recognizable to machines. And there basically, two types of data annotation — manual, which is usually done by humans by hand and automatically, through automated application software.
But the question right here, is whether data annotation companies label their data manually, or use any kind of automated software to maximize their productivity. As, many of them do this process through automated software but pretend, a manually done annotation job.
How Data Annotation is Manually Done?
Annotation and labeling are two interchangeable words used in AI and machine learning. Both are used to create data sets for natural language processing based voice or language recognition system. The texts are either annotated or labeled with the purpose to make the keywords or important words comprehensible to machines helping them to respond in the same way.
Though, there is no big difference between both of them in annotation the entire words are only annotated to make it important, while in text labeling the metadata is also added to make it more descriptive to machine for natural language processing.
Annotation and labeling of Images is highly in demand owing to growth in AI and machine learning (ML) developments. The annotation and labeling helps the models developed on AI or ML algorithms to learn from set of data and use for future prediction.
Use of Annotations and Labeling Images
The AI and ML models are trained with visual perception based technology called computer vision, that can only visualize the objects through images or videos. So, the object of interest in the images are annotated or labeled with special technique. …
Image data sets annotated with Contour annotations definitely have some benefits. Actually, this method of annotation allows you to place contour labels on the contour plots and represent the numerical value of entire contour line.
Contour Annotations Benefits for Image Data Sets
The best part of this tool is output of this tool is a group layer and contains the input contour features, the annotation layers and the mask polygons in images.
Contours label automatically as a property of the terrain model element. It heps to create a segmented images for deep learning. …
Autonomous driving systems are used to develop the self-driving cars that can operate itself without human instructions. It seems an amazing to see if a vehicle moves automatically while following the traffic rules and regulations for safe driving.
But developing such autonomous driving systems is not possible until and unless the model learns everything is visible on the roads. Actually, there are multiple types of objects also addressable on streets and automated cars must detect that from certain distance to take next action like slowing down the speed, barking the vehicle or taking a turn.
Image annotation is the process of annotating or labeling the objects in an image to make it recognizable to computer vision for machine learning. And there are different types of image annotation services used for computer vision in machine learning and AI.
You can find here what are the image annotation types and in which industry or sector such techniques are used to annotate the images. …
Outsourcing image annotation services is one the most crucial task for AI companies seek training to develop the models. Actually, machine learning training data is a kind of fuel works for algorithms to learn from various patterns and predict in the same way.
And you need to be very careful while outsourcing your project to such companies to get the best quality data at least cost. So, in context of the same we brought here the key points to be considered while outsourcing the image annotation services.
On the basis of your project needs, it is important to properly identify…
Data Annotation Service For Machine Learning & AI