Top all-time · #7453
Label Studio
Company blog · labelstud.io/blogaidata
Label Studio is the company blog at labelstud.io, writing about ai and data. Since 2019, 10 different Hacker News readers have linked it 23 times, most often “Label Studio: Open-Source Data Labeling Platform”. No feed was found, so read it on the site itself.
Too few sampled comments (5) to say how often HN recommends it.?
Why HN links it
HN readers link Label Studio, an open-source data labelling tool with a playground, for annotating training data for NLP and machine learning projects. The comments are mostly about the tool itself.
Summarised by Claude from a sample of 5 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.
Multi-modal data labeling and annotation platform for agent traces, LLM evals, RLHF, computer vision, document AI, NLP, audio transcription, and more.
Most-linked posts?
- Label Studio: Open-Source Data Labeling Platform4 people · 5 mentions · first linked 2019-10-08
- Building Agents for Data Labeling2 people · 2 mentions · first linked 2023-10-18
What Hacker News says?
Heartex / Label Studio | Senior FrontEnd Engineer / FullStack Engineer | Full-Time | Remote Hey there, Michael here, one of the founders. We're building a data management platform for Machine Learning. As a part of the core engineering team, you'll be working on our open-source data labeling tool https://labelstud.io/ as well as a commercial offering. There is a lot of exciting work! I'd say that this is nowadays a…
Comment linking /
on “Ask HN: Who is hiring? (April 2020)”Submitted Label Studio v1.0 as a story · 34 points
HN discussionThanks! Comparison between news outlets is on the radar, once I improve the tool based on feedback from this Show HN. My backend uses spaCy (NER/NLP), textacy [1] for extracting subject-verb-object triples, and coreferee [2] for coreference resolution. I did build a custom spaCy model for which I manually annotated over 700 crash-related news articles in Label Studio [3]. This custom model identifies counterfactuals…
Comment linking /
on “Show HN: Identify car crash editorial anti-patterns using NLP”Submitted Improving domain-specific transcription accuracy with data labeling as a story · 13 points
HN discussionThis reminded me of a great OSS tool I discovered the other data for data labelling. It is called Label Studio ( https://labelstud.io/playground/ ) and support quite a variety of different task formats. Works well Disclaimer: No affiliation, only sharing for those who are curious
Comment linking /playground/
on “Classifying 200k articles in 7 hours using NLP”Submitted Evaluate NER Parsers with SpaCy and Label Studio as a story · 9 points
HN discussionCheck out our open-source tool called Label Studio, https://labelstud.io and we have a commercial offering that does exactly this, finetuning the models.
Comment linking /
on “Show HN: OpenCV based multi-object-tracker with various object detection models”Submitted Label Studio – Nested Data Labeling as a story · 9 points
HN discussionWe recently open sourced an agent framework [1] for automating data processing and labeling where the agent's prompt is refined trough iterations with the environment and then asking to an LLM to revise the prompt according to its performance (i.e. automatic prompt tuning). We tested it on the Math reasoning dataset GSM8k and where able to improve the baseline accuracy (GPT4) by 45% -> 74% using 25 labeled examples…
Comment linking /blog/mastering-math-reasoning-with-adala/
on “Ask HN: Are you using a GPT to prompt-engineer another GPT?”Submitted The Future of Data Labeling: Embracing Agents as a story · 3 points
HN discussionI’ve had good results in the past by fine tuning YOLO for image classification and object detection within images, you can find a rough guide here on how to create a good training dataset and such [0] [1] YMMV though, ultimately accuracy is going to depend on the quality of the labelled data and your use case There might be models better suited to your specific needs too, but ultimately you’re always going to need t…
Comment linking /blog/getting-started-with-image-classification/
on “Ask HN: How to train an image recognition AI”Submitted Fine-Tune LLMs and Foundational Models with Label Studio as a story · 2 points
HN discussionHuh? I wrote my own system for classifying a stream of texts in Python, I might Open Source it one of these days but I have to get it to the point where it is modular enough that I can customize it to do the particular things I want without subjecting people to my whims... I use it every day and I'm not afraid to demo it because it is rock solid. My understanding is that my system would not be hard to adapt to work…
Comment linking /
on “You Can't Have a Free Software AI Stack”Submitted Labeling of time series data for ML applications as a story · 2 points
HN discussionSubmitted Evaluating the GPT-5 Series on Custom Benchmarks as a story · 1 points
HN discussionSubmitted Your Data Engine Is the Moat - Here’s How to Own It. as a story · 1 points
HN discussionSubmitted LLM Evaluation: Comparing Four Methods to Automatically Detect Errors as a story · 1 points
HN discussionSubmitted Building Agents for Data Labeling as a story · 1 points
HN discussionSubmitted Building Agents for Data Labeling as a story · 1 points
HN discussionSubmitted Label Studio: Open-Source Data Labeling Platform as a story · 1 points
HN discussionSubmitted Create Datasets for Training YOLO Object Detection as a story · 1 points
HN discussionSubmitted Label Studio Latest – Data Manager for ML/AI Applications as a story · 1 points
HN discussionSubmitted Labelstud.io: Open-source data labeling, annotation and exploration tool as a story · 1 points
HN discussion