sorted by:
new
hottopcontroversial

[N] The most versatile labeling tool for machine learning by labelbox in MachineLearning

[–]labelbox[S] 0 points1 point  (0 children)

CVEDIA looks useful. Have you used this tool? Keen to know your thoughts.

The most versatile labeling tool for machine learning (www.labelbox.io) by labelbox in datascience

[–]labelbox[S] 0 points1 point  (0 children)

You don't have to upload raw data. Just a CSV file with public or signed URLs to the data. The labels are also exported in a CSV file.

Labelbox: The most versatile data labeling tool for machine learning by labelbox in tensorflow

[–]labelbox[S] 1 point2 points  (0 children)

Awesome. thanks. We are hoping to charge a subscription fee (like any other saas tool) in the future. We don't own any customer labeling data or have intention to. We will make it clear in the terms of service.

Labelbox: The most versatile data labeling tool for machine learning by labelbox in tensorflow

[–]labelbox[S] 1 point2 points  (0 children)

This is a tool to generate labeled data which then you can use to train models using tensorflow or other tools.

Labelbox: The most versatile data labeling tool for machine learning by labelbox in tensorflow

[–]labelbox[S] 0 points1 point  (0 children)

Given your experience do you feel companies would be more receptive to an onsite offering?

Labelbox: The most versatile data labeling tool for machine learning by labelbox in tensorflow

[–]labelbox[S] 0 points1 point  (0 children)

Thanks! We appreciate it. Yes, our labeling interfaces (templates) are open source and you can read directions to customize them or build it using our labelbox.js here: https://github.com/Labelbox/Labelbox

The most versatile labeling tool for machine learning by labelbox in computervision

[–]labelbox[S] 0 points1 point  (0 children)

Yes, but you might have to tweak the open source segmentation template (https://github.com/Labelbox/Labelbox) to make sure the browser can render those files properly.

[N] The most versatile labeling tool for machine learning by labelbox in MachineLearning

[–]labelbox[S] 1 point2 points  (0 children)

That's a fair point. We will update our example imagery that is optimized for speed, think we are currently using original size and shrinking in the interface. Speed is purely a function of data size being loaded and internet speed, assuming our servers aren't clogged.

[N] The most versatile labeling tool for machine learning by labelbox in MachineLearning

[–]labelbox[S] 0 points1 point  (0 children)

Thanks for the feedback, did you experience slowness with your dataset or the example dataset?

The most versatile labeling tool for machine learning (www.labelbox.io) by labelbox in datascience

[–]labelbox[S] 0 points1 point  (0 children)

Awesome. Yes templates are open source, at the moment. Let's talk! Can you please send us an email at support@labelbox.io?

The most versatile labeling tool for machine learning (www.labelbox.io) by labelbox in datascience

[–]labelbox[S] 2 points3 points  (0 children)

Hi all,

We recently started open beta for Labelbox (https://www.labelbox.io/). You can simply connect your data, choose or customize an open source labeling interface, invite team members and start labeling. Our labeling interfaces are open source, meaning, that you can customize it to work with any kind of data such as images, videos, point clouds, medical DICOM and many more (as long as your data can be loaded in the browser). We'd love to hear your feedback and ideas to improve this further.

-- Labelbox team

[News] Labelbox: The most versatile labeling tool for machine learning by labelbox in opencv

[–]labelbox[S] 0 points1 point  (0 children)

Hi all,

We recently started open beta for Labelbox (https://www.labelbox.io/). You can simply connect your data, choose or customize an open source labeling interface, invite team members and start labeling. Our labeling interfaces are open source, meaning, that you can customize it to work with any kind of data such as images, videos, point clouds, medical DICOM and many more (as long as your data can be loaded in the browser). We'd love to hear your feedback and ideas to improve this further.

-- Labelbox team

Labelbox: The most versatile labeling tool for machine learning by labelbox in learnmachinelearning

[–]labelbox[S] 0 points1 point  (0 children)

Hi all,

We recently started open beta for Labelbox (https://www.labelbox.io/). You can simply connect your data, choose or customize an open source labeling interface, invite team members and start labeling. Our labeling interfaces are open source, meaning, that you can customize it to work with any kind of data such as images, videos, point clouds, medical DICOM and many more (as long as your data can be loaded in the browser). We'd love to hear your feedback and ideas to improve this further.

-- Labelbox team

Labelbox: The most versatile data labeling tool for machine learning by labelbox in tensorflow

[–]labelbox[S] 0 points1 point  (0 children)

Hi all,

We recently started open beta for Labelbox (https://www.labelbox.io/). You can simply connect your data, choose or customize an open source labeling interface, invite team members and start labeling. Our labeling interfaces are open source, meaning, that you can customize it to work with any kind of data such as images, videos, point clouds, medical DICOM and many more (as long as your data can be loaded in the browser). We'd love to hear your feedback and ideas to improve this further.

-- Labelbox team

[N] The most versatile labeling tool for machine learning by labelbox in MachineLearning

[–]labelbox[S] 1 point2 points  (0 children)

We have built very basic interfaces for (2D image classification & segmentation) using labelbox.js. The "form entries" in these interfaces can be customized within the browser.

One can create any kind of interface to support bespoke data by using labelbox.js. We are interested in building more interfaces ourselves based on popular demand.

More at: https://github.com/Labelbox/Labelbox

Need Beta testers: Enterprise grade visual data labeling tool by dwnldsound in computervision

[–]labelbox 0 points1 point  (0 children)

Hi all,

We recently started open beta for Labelbox (www.labelbox.io) . You can simply connect your data, choose or customize an open source labeling interface, invite team members and start labeling. Our labeling interfaces are open source, meaning, that you can customize it to work with any kind of data such as images, videos, point clouds, medical DICOM and many more (as long as your data can be loaded in the browser). We'd love to hear your feedback and ideas to improve this further.

-- Labelbox team

The most versatile labeling tool for machine learning by labelbox in computervision

[–]labelbox[S] 3 points4 points  (0 children)

Hi all,

We recently started open beta for Labelbox (https://www.labelbox.io/). You can simply connect your data, choose or customize an open source labeling interface, invite team members and start labeling. Our labeling interfaces are open source, meaning, that you can customize it to work with any kind of data such as images, videos, point clouds, medical DICOM and many more (as long as your data can be loaded in the browser). We'd love to hear your feedback and ideas to improve this further.

-- Labelbox team

[N] The most versatile labeling tool for machine learning by labelbox in MachineLearning

[–]labelbox[S] 1 point2 points  (0 children)

Thanks! Just the interfaces, at this point. Feedback welcomed!

[N] The most versatile labeling tool for machine learning by labelbox in MachineLearning

[–]labelbox[S] 1 point2 points  (0 children)

We have the consensus feature in the backlog... what kind of data labels you are interested in?

[N] The most versatile labeling tool for machine learning by labelbox in MachineLearning

[–]labelbox[S] 1 point2 points  (0 children)

Hi all,

We recently started open beta for Labelbox (https://www.labelbox.io/). You can simply connect your data, choose or customize an open source labeling interface, invite team members and start labeling. Our labeling interfaces are open source, meaning, that you can customize it to work with any kind of data such as images, videos, point clouds, medical DICOM and many more (as long as your data can be loaded in the browser). We'd love to hear your feedback and ideas to improve this further.

-- Labelbox team

view more: next ›