Speaker: Harpreet Sahota, Hacker-in-Residence at Voxel51

Live, expert-led sessions where you’ll build real agentic systems step-by-step.

Are you ready to level up your analytics game and tackle the challenges that come with data-heavy projects? In this episode, Harpreet Sahota, a data science leader with years of experience helping analysts and teams thrive, shares actionable insights and strategies for staying ahead in the fast-evolving world of data. Harpreet will help you develop a practical mindset to tackle real-world challenges and build the confidence to lead impactful projects. From cleaning messy datasets, to deciding between building or buying a solution, to training a computer vision model, Harpreet is here to share his expertise. Whether you're an aspiring data analyst or a seasoned professional, this episode will equip you with the skills and clarity to succeed. What You'll Learn: Data Cleaning for Any Data Type: Proven techniques to clean and prepare your data for analysis. Training a Computer Vision Model: What to consider before you start and how to ensure success. Build vs. Buy for LLMs: When to create your own solution and when to leverage existing tools. Setting Yourself Up for Success as an Analyst: Strategies to stand out and make your work impactful.   Register for free to be part of the next live session: https://bit.ly/3XB3A8b   Interested in learning more from Harpreet? Connect with him on LinkedIn   Follow us on Socials: LinkedIn YouTube Instagram (Mavens of Data) Instagram (Maven Analytics) TikTok Facebook Medium X/Twitter

In this talk, we’ll explore Janus-Pro’s Visual Question Answer (VQA) capabilities using FiftyOne’s Janus-Pro VQA Plugin. The plugin provides a seamless interface to Janus Pro’s visual question understanding capabilities within FiftyOne, offering: Vision-language tasks; Hardware acceleration (CUDA/MPS) when available; Dynamic version selection from HuggingFace; Full integration with FiftyOne’s Dataset and UI.

DeepSeek’s Janus-Pro is an advanced multimodal model designed for both multimodal understanding and visual generation, with a particular emphasis on improvements in understanding tasks. In this talk, we’ll explore Janus-Pro’s Visual Question Answer (VQA) capabilities using FiftyOne’s Janus-Pro VQA Plugin. The plugin provides a seamless interface to Janus Pro’s visual question understanding capabilities within FiftyOne, offering: Vision-language tasks; Hardware acceleration (CUDA/MPS) when available; Dynamic version selection from HuggingFace; Full integration with FiftyOne’s Dataset and UI. Can’t wait to see it for yourself? Check out the FiftyOne Quickstart with Janus-Pro.

Exploration of Janus-Pro’s VQA capabilities using FiftyOne’s Janus-Pro VQA Plugin, with a focus on vision-language tasks, hardware acceleration (CUDA/MPS), dynamic version selection from HuggingFace, and full integration with FiftyOne’s Dataset and UI.

Hands-on 90-minute workshop to learn how to leverage the FiftyOne computer vision toolset. Part 1 covers FiftyOne basics (terms, architecture, installation, and general usage), an overview of useful workflows to explore, understand, and curate data, and how FiftyOne represents and semantically slices unstructured computer vision data. Part 2 is a hands-on introduction to FiftyOne, where you will learn how to load datasets from the FiftyOne Dataset Zoo, navigate the FiftyOne App, programmatically inspect attributes of a dataset, add new sample and custom attributes to a dataset, generate and evaluate model predictions, and save insightful views into the data. Prerequisites: working knowledge of Python and basic computer vision. Attendees will get access to tutorials, videos, and code examples used in the workshop.

90-minute hands-on workshop led by Harpreet Sahota, Hacker-in-Residence and Machine Learning Engineer at Voxel51. Part 1 covers FiftyOne basics (terms, architecture, installation, general usage), an overview of useful workflows to explore, understand, and curate data, and how FiftyOne represents and semantically slices unstructured computer vision data. Part 2 provides a hands-on introduction to FiftyOne: loading datasets from the FiftyOne Dataset Zoo, navigating the FiftyOne App, programmatically inspecting attributes, adding new samples and custom attributes, generating and evaluating model predictions, and saving insightful views into the data. Prerequisites: working knowledge of Python.

An introduction to FiftyOne basics (terms, architecture, installation, and general usage), overview of workflows to explore, understand, and curate data, and how FiftyOne represents and semantically slices unstructured computer vision data.

Hands-on introduction to FiftyOne: load datasets from the FiftyOne Dataset Zoo, navigate the FiftyOne App, programmatically inspect attributes of a dataset, add new samples and custom attributes, generate and evaluate model predictions, and save insightful views into the data.

A 90-minute hands-on workshop introducing the FiftyOne computer vision toolset. Part 1 covers FiftyOne basics (terms, architecture, installation, and general usage), an overview of useful workflows to explore, understand, and curate data, and how FiftyOne represents and semantically slices unstructured computer vision data. Part 2 is a hands-on session on loading datasets from the FiftyOne Dataset Zoo, navigating the FiftyOne App, programmatically inspecting attributes of a dataset, adding new samples and custom attributes, generating and evaluating model predictions, and saving insightful views into the data.

90-minute hands-on workshop on the FiftyOne computer vision toolset. Part 1 covers FiftyOne Basics (terms, architecture, installation, and general usage); an overview of useful workflows to explore, understand, and curate data; and how FiftyOne represents and semantically slices unstructured computer vision data. Part 2 provides a hands-on introduction to FiftyOne: loading datasets from the FiftyOne Dataset Zoo, navigating the FiftyOne App, programmatically inspecting dataset attributes, adding new samples and custom attributes, generating and evaluating model predictions, and saving insightful views into the data. Prerequisites: working knowledge of Python. All attendees get access to tutorials, videos, and code examples used in the workshop.

Overview of FiftyOne basics (terms, architecture, installation, and general usage). An overview of useful workflows to explore, understand, and curate your data. How FiftyOne represents and semantically slices unstructured computer vision data.

Overview of FiftyOne basics: terms, architecture, installation, and general usage; an overview of useful workflows to explore, understand, and curate your data; and how FiftyOne represents and semantically slices unstructured computer vision data.

90-minute hands-on workshop on the FiftyOne computer vision toolset. Part 1 covers FiftyOne basics (terms, architecture, installation, and general usage), an overview of useful workflows to explore, understand, and curate data, and how FiftyOne represents and semantically slices unstructured computer vision data. Part 2 is a hands-on introduction to FiftyOne: loading datasets from the FiftyOne Dataset Zoo, navigating the FiftyOne App, programmatically inspecting attributes, adding new samples and custom attributes, generating and evaluating model predictions, and saving insightful views into the data.

90-minute hands-on workshop introducing the FiftyOne open-source computer vision toolset. Topics include FiftyOne basics (terms, architecture, installation, and general usage); exploring, understanding, and curating data; representing and semantically slicing unstructured CV data; loading datasets from the FiftyOne Dataset Zoo; navigating the FiftyOne App; programmatically inspecting attributes; adding new samples and custom attributes; generating and evaluating model predictions; saving insightful views into the data.

Hands-on introduction to FiftyOne: Load datasets from the FiftyOne Dataset Zoo; Navigate the FiftyOne App; Programmatically inspect attributes of a dataset; Add new sample and custom attributes to a dataset; Generate and evaluate model predictions; Save insightful views into the data.

Hands-on session to load datasets from the FiftyOne Dataset Zoo, navigate the FiftyOne App, programmatically inspect attributes of a dataset, add new sample and custom attributes to a dataset, generate and evaluate model predictions, and save insightful views into the data.

Part 1 of the workshop covering FiftyOne basics, architecture, installation, and general usage, plus an overview of workflows to explore, understand, and curate data, and how FiftyOne represents and semantically slices unstructured computer vision data.

Hands-on 90-minute workshop to learn how to leverage the FiftyOne open source computer vision toolset. Part 1 covers FiftyOne basics (terms, architecture, installation, and general usage); an overview of useful workflows to explore, understand, and curate data; and how FiftyOne represents and semantically slices unstructured computer vision data. Part 2 is a hands-on introduction to FiftyOne: loading datasets from the FiftyOne Dataset Zoo, navigating the FiftyOne App, programmatically inspecting attributes, adding new samples and custom attributes, generating and evaluating model predictions, and saving insightful views into the data.

Hands-on portion: load datasets from the FiftyOne Dataset Zoo; navigate the FiftyOne App; programmatically inspect attributes; add new sample and custom attributes; generate and evaluate model predictions; save insightful views into the data.

Terms, architecture, installation, and general usage; overview of useful workflows to explore, understand, and curate your data; how FiftyOne represents and semantically slices unstructured computer vision data.

Part 1 of the workshop covering FiftyOne basics (terms, architecture, installation, and general usage), an overview of useful workflows to explore, understand, and curate data, and how FiftyOne represents and semantically slices unstructured computer vision data.

Part 2 of the workshop providing a hands-on introduction to FiftyOne: loading datasets from the FiftyOne Dataset Zoo, navigating the FiftyOne App, programmatically inspecting attributes, adding new samples and custom attributes, generating and evaluating model predictions, and saving insightful views.

Hands-on introduction to FiftyOne: load datasets from the FiftyOne Dataset Zoo; navigate the FiftyOne App; programmatically inspect attributes of a dataset; add new sample and custom attributes to a dataset; generate and evaluate model predictions; save insightful views into the data.