atom VS label-studio

- AWS S3, ECS, RDS, Lambda, SageMaker (and others)

We also open-source our edge microservice SDK based on Redis + Docker: https://github.com/elementary-robotics/atom

Please feel free to send email me directly to discuss and/or submit your resume / CV to dan [at] [domain.com]

Elementary | Los Angeles + Mexico City | Many positions

Elementary Robotics is building the future of Computer Vision and Machine Learning for manufacturing. We're a Series A startup backed by fantastic investors including Threshold, Fika, Toyota AI Ventures and Idealab! Our products are deployed at Fortune 500 companies and delivering value to their manufacturing processes through CV + ML quality and traceability checks that run on the edge and report results to our state-of-the-art cloud platform. We pride ourselves on strong software engineering fundamentals to allow our team to move quickly and deliver high-quality features to our customers. Most of our codebase is in Python across the stack and we utilize our Atom SDK to write reusable microservices on the edge: https://github.com/elementary-robotics/atom.

Full list of open positions: https://boards.greenhouse.io/elementaryrobotics

We move quickly and empower our team to deliver meaningful features to our customers. We'd love for you to join us!

If instead you have a cohort on hand — -i.e., you do not want to send your data to a third party for any reason, or perhaps you have energetic undergrads — -then you could alternatively consider local, open-source annotation such as CVAT and Label Studio. Finally, nowadays, you might instead work with Large Multimodal Models to have them annotate your data; more on this awkward angle later.

14. LabelStudio by Human Signal | Github | tutorial

For instance, the COCO Annotator is a web-based image annotation tool tailored for the COCO dataset format, allowing collaborative labeling with features like attribute tagging and automatic segmentation. Similarly, Label Studio offers an easy-to-use interface for bounding box object labeling in images.

Huh?

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 on images for certain kinds of tasks.

Pytorch is open source, Huggingface is open source. CUDA isn't. This is

https://labelstud.io/

and for annotating text spans there are so many open source tools

https://github.com/doccano/doccano

I worked for a company a few years back that built annotation tools for projects we sold to customers but never quite got to a polished general purpose annotator. Today there are an overwhelming number of companies in this space and products I never heard of, many of which are cloud based or paid. Looks like a gold rush to me.

LabelStudio is free for single use. https://labelstud.io/

LabelStudio is pretty nice, and free & open source, but I have yet to try out their ML integration with a YOLO object detection model.

Label Studio is an open source data labeling tool that includes annotation functionality. It provides a simple user interface (UI) that lets you label various data types, including text, audio, time series data, videos, and images, and export the information to various model formats.