The Fragment Platform will give millions of people easy access to simple micro tasks that AI can not do. These tasks can be completed on your smartphone, while traveling on the train, waiting for your coffee, even during commercials.
and Open standards for the new micro-task economy
The platform will allow developers to generate revenue, by building new micro task applications and expanding into new markets.
Smart contracts ensure fair distribution of prizes for all participants - developers, workers, and companies. because "Fragments aims to provide micro tasks
application platform, where developers are encouraged
to build systems that we can not do
imagine today. "
On the applicant side, the application will be driven by Artificial Intelligence and others
technologies that require large amounts of structured labeled data. On the other hand
hand, for annotator, there will be a strong push for cellular environment, so
applications can leverage more and more people in developing countries, who are
has a smartphone and internet connection [1]. It will also provide comfort
experience even while on the go and using extensive data acquisition capabilities
current smartphone (camera, microphone, and other sensors).
The purpose of the fragment, is to create a micro task platform that is not only open and
easily expandable, but actually provide extension incentives by allowing developers to take
small revenue chunks, if their applications they build on the platform are used by others.
The bare-bones Fragment platform is free to use without commissions. Developer
can offer their applications for public use and decide what commissions they are wearing to use
they. The rest is left to the free market - no one is forced to use certain applications,
if the required commission is too high compared to the value it offers.
Fragments are built on top of Ethereum and provide
for micro task applications, what Ethereum provides for blockchain applications - which are easily accessible
and an expanded framework and infrastructure. Fragments provide a framework for
applicants so they can advertise their tasks and frameworks for annotators so they are
can select and mark completed tasks on their mobile device and elsewhere. DApp
in the middle has a number of functions including batch job assignment,
record what tasks are completed and payment.
There is no limit on what data the task actually is. General information only
such as job descriptions, prices and tags advertised via dApp.
After the annotator selects the batch of tasks he wants to work on, task data and replies
sent directly from the applicant to the annotator, outside dApp. Therefore,
applications can be developed for all types of tasks, be it traditional image labeling
or more advanced tasks, such as requiring an annotator to complete the task
the Chrome extension, which tracks its movements on certain sites and then sends them
to the applicant. Both requesting and annotator sides can be extended and therefore, the possibilities are wide - from new task types, to applicant side features, such as combining machine learning algorithms with human workers on the Fragment platform, to upgrading annotator-like applications created for devices Applicable
https://fragments.network/.
and Open standards for the new micro-task economy
The platform will allow developers to generate revenue, by building new micro task applications and expanding into new markets.
Smart contracts ensure fair distribution of prizes for all participants - developers, workers, and companies. because "Fragments aims to provide micro tasks
application platform, where developers are encouraged
to build systems that we can not do
imagine today. "
On the applicant side, the application will be driven by Artificial Intelligence and others
technologies that require large amounts of structured labeled data. On the other hand
hand, for annotator, there will be a strong push for cellular environment, so
applications can leverage more and more people in developing countries, who are
has a smartphone and internet connection [1]. It will also provide comfort
experience even while on the go and using extensive data acquisition capabilities
current smartphone (camera, microphone, and other sensors).
The purpose of the fragment, is to create a micro task platform that is not only open and
easily expandable, but actually provide extension incentives by allowing developers to take
small revenue chunks, if their applications they build on the platform are used by others.
The bare-bones Fragment platform is free to use without commissions. Developer
can offer their applications for public use and decide what commissions they are wearing to use
they. The rest is left to the free market - no one is forced to use certain applications,
if the required commission is too high compared to the value it offers.
Fragments are built on top of Ethereum and provide
for micro task applications, what Ethereum provides for blockchain applications - which are easily accessible
and an expanded framework and infrastructure. Fragments provide a framework for
applicants so they can advertise their tasks and frameworks for annotators so they are
can select and mark completed tasks on their mobile device and elsewhere. DApp
in the middle has a number of functions including batch job assignment,
record what tasks are completed and payment.
There is no limit on what data the task actually is. General information only
such as job descriptions, prices and tags advertised via dApp.
After the annotator selects the batch of tasks he wants to work on, task data and replies
sent directly from the applicant to the annotator, outside dApp. Therefore,
applications can be developed for all types of tasks, be it traditional image labeling
or more advanced tasks, such as requiring an annotator to complete the task
the Chrome extension, which tracks its movements on certain sites and then sends them
to the applicant. Both requesting and annotator sides can be extended and therefore, the possibilities are wide - from new task types, to applicant side features, such as combining machine learning algorithms with human workers on the Fragment platform, to upgrading annotator-like applications created for devices Applicable
https://fragments.network/.
Komentar
Posting Komentar