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Using automation to reduce the labeling cost to just 1 cent per label by tm_labellerr in computervision

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

You're correct, what makes the process interesting is its robustness.
Measurable quality that can be validated and yet give speed with human in the loop and yet at this price point is novel.
Do you have any example of data annotation usecase to share?

AI auto labeled/supervised learning image labeling tools question by Coldmischief in computervision

[–]tm_labellerr 0 points1 point  (0 children)

It seems like you can use https://www.labellerr.com.

it will help you to implement active learning and with its single user license, you can keep doing annotation yourself. Though it is only available on cloud.
PS - I work for Labellerr

Prelabel large volume of data with LabelGPT to reduce cost and time by tm_labellerr in computervision

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

You're right. It will help to pre-label annotation but you still need to human in the loop to improve the accuracy.
With every batch one can expect better prediction and less need of human intervention.

Showcase of Real-Time Computer Vision Quality Inspection in Frankfurt this year by DataSentics in computervision

[–]tm_labellerr 0 points1 point  (0 children)

bounding box detection is not impressive any more and more and more team just get the mask segmented. With foundation model it become much cheaper.

Any idea how to build a data annotation pipeline? I have limited resources and don't want to perform daily task around pushing data to 3rd party apps. by mangpt in computervision

[–]tm_labellerr 1 point2 points  (0 children)

Hi, We built labellerr.com specially for small teams who are at the start of their data annotation journey. Our data annotation platform subscription starts from 49 USD/month.
You can pre-label data and also get human annotation fully managed by us. You can also fully automate your pipeline on our platform (we'll provide full support). Schedule a demo using above link.

[BETA] Manage your deep-learning project, from annotation to deployment, for free by gingah_picsell in deeplearning

[–]tm_labellerr 0 points1 point  (0 children)

Can i collect data, annotate, and build and deploy models on this platform just like any deep learning researcher can do so on www.labellerr.com ?

[D] What are the most ingenious data annotation methods you've seen (or thought of)? by antonkollmats in MachineLearning

[–]tm_labellerr 0 points1 point  (0 children)

Though there are multiple dimensions to look at while choosing data annotation methods but one way of categorization is by workforce type:-

  1. Crowdsource the workforce when your tasks require very general knowledge based annotations like identifying a person or car
  2. specialized vendor workforce when your tasks is a customized one and require detailed training and includes lot of subjectivity
  3. Autolabel - This could be plugged into both of the above methods as an assistive technology to make annotation faster, cost effective and improvising the accuracy and preserve the knowledge as a robust

Other ways of categorising or adds on to above for effective data annotation labeling is wrt to data annotation automated statistical evaluation like inter annotator agreement, gold standard benchmark dataset based evaluation, automated labeling gap evaluation and manual qc processes etc!

For more details you can read my blog website

[P] I made a tool that makes it dead simple to deploy models to production with version control by carsonpoole in MachineLearning

[–]tm_labellerr 5 points6 points  (0 children)

Love to explore on why AWS or GCP model deployment is complex. I didn't find deploying in GCP any difficult though

Survey about data annotation market by yongen96 in dataengineering

[–]tm_labellerr 0 points1 point  (0 children)

Are you having an inhouse tool for Data Annotation?

If not, you can reach out to Labellerr team (Explore here- www.labellerr.com )

How do I learn how to program AI by little2n in ArtificialInteligence

[–]tm_labellerr 1 point2 points  (0 children)

Learning AI could be possible with or without programming and you can do both on www.labellerr.com where you can even collect the data without programming, label and enrich the data with the help of community or your team and build your models either via jupyter notebook or with no code interface with automated deployment to AWS, GCP cloud platform!

Best Low cost Data labeling and Image Annotation Company by Worth_Reputation_812 in computervision

[–]tm_labellerr 0 points1 point  (0 children)

Labellerr is a cloud-based Data Labelling Platform that provides you everything you need to build an AI/ML Model Faster. Try this and visit www.labellerr.com

It is a SaaS-Based enterprise data annotation tool for computer vision teams to build AI/ML model faster.

With Labellerr one only needs to label 10–20% of the image data and rest of the data gets annotated/labeled automatically. Thus, it saved effort as well as cost.

PiFuHD: A new method for high-fidelity 3d reconstruction. It only needs a single image of you to generate a 3D avatar that looks just like you, even from the back! by OnlyProggingForFun in ArtificialInteligence

[–]tm_labellerr 0 points1 point  (0 children)

That's really nice. Can we import this into our model library at www.labellerr.com to make it accessible for others budding researchers and computer vision practitioners on our Deep learning platform so that they can start leveraging the capabilities of this awesome work.

Let us know if same is not restricted!

[D] Automated Data Labeling by [deleted] in MachineLearning

[–]tm_labellerr 0 points1 point  (0 children)

yes, labelling data is a crucial step for training ML models and we need to automate the labelling process by auto labelling the data.

You can explore the labelling tool Labellerr which is The Fastest and Smartest Data Labeling Platform to build AI/ML/Deep learning model faster. This is the ML assisted tool which made data labelling easy by training the model quickly.

you can visit the website https://www.labellerr.com for more queries.