Announcing FiftyOne 0.23.6 and FiftyOne Teams 1.5.7
Tags: computervision, ai, machinelearning, datascience
Published: 2024-03-11 14:30:00

The Voxel51 engineering team is thrilled to announce the general availability of [FiftyOne 0.23.6](https://docs.voxel51.com/release-notes.html#fiftyone-0-23-6) and [FiftyOne Teams 1.5.7](https://docs.voxel51.com/release-notes.html#fiftyone-teams-1-5-7), which brings with them dozens of enhancements and fixes to streamline your computer vision workflows. This pair of releases includes over a dozen new features and fixes. Read on to learn more.

## Wait, what’s FiftyOne?

[FiftyOne](https://voxel51.com/fiftyone/) is the open source machine learning toolset that enables data science teams to improve the performance of their computer vision models by helping them curate high quality datasets, evaluate models, find mistakes, visualize embeddings, and get to production faster.

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/fp3n2q2bcn9kcx2uiury.png)

## Okay, but what’s FiftyOne Teams?

[FiftyOne Teams](https://voxel51.com/fiftyone-teams/) extends FiftyOne with a GSuite-like experience for teams that want to collaborate on data stored in a centralized location with additional features like user permissions, dataset versioning, cloud-backed media, and enterprise security.

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/dhzvifbffa8f9viplwln.png)

If this sounds interesting, read on! Then [schedule a demo](https://voxel51.com/schedule-teams-workshop/) to learn more about FiftyOne Teams.

## What’s new in FiftyOne 0.23.6

This release includes the following updates:

### What's New

- Added a [dimensionality reduction tutorial](https://docs.voxel51.com/tutorials/dimension_reduction.html) [#4033](https://github.com/voxel51/fiftyone/pull/4033)
- Added a [data augmentation tutorial](https://docs.voxel51.com/tutorials/data_augmentation.html) [#4109](https://github.com/voxel51/fiftyone/pull/4109)
- Added a formal [Open CLIP integration page](https://docs.voxel51.com/integrations/openclip.html#openclip-integration) [#4049](https://github.com/voxel51/fiftyone/pull/4049)
- Documented support for open-world object detection with [YOLO World](https://docs.voxel51.com/integrations/ultralytics.html#ultralytics-open-vocabulary-object-detection) [#4112](https://github.com/voxel51/fiftyone/pull/4112)
- Added support for importing/exporting contours in [YOLO format](https://docs.voxel51.com/user_guide/dataset_creation/datasets.html#yolov5dataset-import) [#4094](https://github.com/voxel51/fiftyone/pull/4094)
- Added cosine metric as an option for [Milvus similarity indexes](https://docs.voxel51.com/integrations/milvus.html#milvus-integration) [#4081](https://github.com/voxel51/fiftyone/pull/4081)
- Added support for local files when using the [Label Studio integration](https://docs.voxel51.com/integrations/labelstudio.html#label-studio-local-storage) [#3969](https://github.com/voxel51/fiftyone/pull/3969)
- Removed App dependency on `_cls` for embedded documents [#4090](https://github.com/voxel51/fiftyone/pull/4090) 

## What’s new in FiftyOne Teams 1.5.7

Includes all updates from FiftyOne [0.23.6](https://docs.voxel51.com/release-notes.html#release-notes-v0-23-6), plus:

- Improved performance of [`values()`](https://docs.voxel51.com/api/fiftyone.core.collections.html#fiftyone.core.collections.SampleCollection.values) when using [API connections](https://docs.voxel51.com/teams/api_connection.html#teams-api-connection)
- Improved stability of long-running operations when using [API connections](https://docs.voxel51.com/teams/api_connection.html#teams-api-connection)
- Added support for including prefixes when providing [bucket-specific credentials](https://docs.voxel51.com/teams/installation.html#teams-cloud-storage-page)

## Get involved in the FiftyOne open source community!

If you are working on computer vision use cases and unstructured data, the FiftyOne community is for you. There are tons of ways to get involved, for example:

### FiftyOne Community Slack

With over 2,500 members, the [community Slack channel](https://slack.voxel51.com/) is THE place to interact with the FiftyOne developers and exchange solutions with machine learning engineers doing computer vision in production. 

To make it easy to catch the highlights, every Friday we recap interesting questions and answers from Slack in our Tips & Tricks blog series. Check out almost 300 tips and tricks in the archives like:

- [Exporting and importing datasets – FiftyOne Tips and Tricks](https://voxel51.com/blog/fiftyone-computer-vision-tips-and-tricks-march-1-2024/)
- [Using dataset.export to specify arbitrary file paths – FiftyOne Tips and Tricks](https://voxel51.com/blog/fiftyone-computer-vision-tips-and-tricks-feb-23-2024/)
- [Finding dissimilar images using the “similarity” feature – FiftyOne Tips and Tricks](https://voxel51.com/blog/fiftyone-computer-vision-tips-and-tricks-feb-16-2024/)
- [Searching through videos inside the Fiftyone App – FiftyOne Tips and Tricks](https://voxel51.com/blog/fiftyone-computer-vision-tips-and-tricks-march-1-2024/)

### Computer Vision and AI, Machine Learning, and Data Science Meetups

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/b6u7pt9p9p7g6rsk3sdc.png)

Voxel51 sponsors 13 virtual [Computer Vision Meetups](https://voxel51.com/computer-vision-ai-meetups/) and 12 [AI, Machine Learning and Data Science Meetups](https://voxel51.com/computer-vision-ai-meetups/) around the world with over 20,000 members. (To join, visit the Meetup links and scroll down to find the location friendliest to your time zone.)

The Meetups are geared towards data scientists, machine learning engineers, and open source enthusiasts who want to expand their knowledge of computer vision and complementary technologies. We put an emphasis on open source software, and speakers who are computer vision practitioners or academics doing research in the field. Our next Meetup is happening March 21:

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/2s8etfoir58zoauvzyr6.png)

- **Visual Anagrams: Generating Multi-View Optical Illusions with Diffusion Models** – [Andrew Owens](https://eecs.engin.umich.edu/people/owens-andrew/) at the University of Michigan
- **Omnidirectional Computer Vision** – [Ciarán Eising](https://www.linkedin.com/in/ciaraneising/) at the University of Limerick & the D2iCE Research Group
- **Illuminating the Underground World with Multimodal Algorithms** – [Adonaí Vera](https://www.linkedin.com/in/adonai-vera/), Machine Learning Engineer
- **The Role of AI in Fixing Hiring** – [Saurav Pandit](https://www.linkedin.com/in/saurav-pandit/), PhD at AI 2030

### FiftyOne on GitHub

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/g9lkvogo6168w74yfsla.png)

If you want to start contributing to the FiftyOne project resolving issues, reporting bugs or making enhancements to the Docs, check out these resources:

- [Good first issues](https://github.com/voxel51/fiftyone/issues?q=is%3Aopen+is%3Aissue+label%3A%22good+first+issue%22)
- Building the Docs ([video](https://www.youtube.com/watch?v=F707JudeT8E), [instructions](https://github.com/voxel51/fiftyone/tree/develop/docs))

## Industry Spotlight: Computer Vision in Safety and Security

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/5a8yzk5l133hf23ulzzy.png)

Check out the sixth instalment of Voxel51’s computer vision industry spotlight series. In this series, we highlight how different industries — from construction to climate tech, from retail to robotics, and more — are using computer vision, machine learning, and artificial intelligence to drive innovation. We’ll dive deep into the main computer vision tasks being put to use, current and future challenges, and companies at the forefront.

In this edition, we’ll focus on safety and security! Check out the [How Computer Vision Is Changing Safety & Security](https://voxel51.com/blog/how-computer-vision-is-changing-security/) blog to get the details!