talk-data.com

This special AgTec edition of our “Getting Started with FiftyOne” workshop series is designed for researchers, engineers, and practitioners working with visual data in agriculture. Through practical examples using a Colombian coffee dataset, you’ll gain a deep understanding of data-centric AI workflows tailored to the challenges of the AgTec space.

Date and Location

* Oct 28, 2025 * 9:00-10:30 AM Pacific * Online. Register for the Zoom!

Want greater visibility into the quality of your computer vision datasets and models? Then join us for this free 90-minute, hands-on workshop to learn how to leverage the open source FiftyOne computer vision toolset. At the end of the workshop, you’ll be able to:

• Load and visualize agricultural datasets with complex labels
• Explore data insights interactively using embeddings and statistics
• Work with geolocation and map-based visualizations
• Generate high-quality annotations with the Segment Anything Model (SAM2)
• Evaluate model performance and debug predictions using real AgTec scenarios

Prerequisites: working knowledge of Python and basic computer vision concepts.

Resources: All attendees will get access to the tutorials, videos, and code examples used in the workshop.

Learn how to:

• Visualize complex datasets
• Explore embeddings
• Analyze and improve models
• Perform advanced data curation
• Build integrations with popular ML tools, models, and datasets

This special AgTec edition of our “Getting Started with FiftyOne” workshop series is designed for researchers, engineers, and practitioners working with visual data in agriculture. Through practical examples using a Colombian coffee dataset, you’ll gain a deep understanding of data-centric AI workflows tailored to the challenges of the AgTec space.

Date and Location

* Oct 28, 2025 * 9:00-10:30 AM Pacific * Online. Register for the Zoom!

Want greater visibility into the quality of your computer vision datasets and models? Then join us for this free 90-minute, hands-on workshop to learn how to leverage the open source FiftyOne computer vision toolset. At the end of the workshop, you’ll be able to:

• Load and visualize agricultural datasets with complex labels
• Explore data insights interactively using embeddings and statistics
• Work with geolocation and map-based visualizations
• Generate high-quality annotations with the Segment Anything Model (SAM2)
• Evaluate model performance and debug predictions using real AgTec scenarios

Prerequisites: working knowledge of Python and basic computer vision concepts.

Resources: All attendees will get access to the tutorials, videos, and code examples used in the workshop.

Learn how to:

• Visualize complex datasets
• Explore embeddings
• Analyze and improve models
• Perform advanced data curation
• Build integrations with popular ML tools, models, and datasets

This special AgTec edition of our “Getting Started with FiftyOne” workshop series is designed for researchers, engineers, and practitioners working with visual data in agriculture. Through practical examples using a Colombian coffee dataset, you’ll gain a deep understanding of data-centric AI workflows tailored to the challenges of the AgTec space.

Date and Location

* Oct 28, 2025 * 9:00-10:30 AM Pacific * Online. Register for the Zoom!

Want greater visibility into the quality of your computer vision datasets and models? Then join us for this free 90-minute, hands-on workshop to learn how to leverage the open source FiftyOne computer vision toolset. At the end of the workshop, you’ll be able to:

• Load and visualize agricultural datasets with complex labels
• Explore data insights interactively using embeddings and statistics
• Work with geolocation and map-based visualizations
• Generate high-quality annotations with the Segment Anything Model (SAM2)
• Evaluate model performance and debug predictions using real AgTec scenarios

Prerequisites: working knowledge of Python and basic computer vision concepts.

Resources: All attendees will get access to the tutorials, videos, and code examples used in the workshop.

Learn how to:

• Visualize complex datasets
• Explore embeddings
• Analyze and improve models
• Perform advanced data curation
• Build integrations with popular ML tools, models, and datasets

This special AgTec edition of our “Getting Started with FiftyOne” workshop series is designed for researchers, engineers, and practitioners working with visual data in agriculture. Through practical examples using a Colombian coffee dataset, you’ll gain a deep understanding of data-centric AI workflows tailored to the challenges of the AgTec space.

Date and Location

* Oct 28, 2025 * 9:00-10:30 AM Pacific * Online. Register for the Zoom!

Want greater visibility into the quality of your computer vision datasets and models? Then join us for this free 90-minute, hands-on workshop to learn how to leverage the open source FiftyOne computer vision toolset. At the end of the workshop, you’ll be able to:

• Load and visualize agricultural datasets with complex labels
• Explore data insights interactively using embeddings and statistics
• Work with geolocation and map-based visualizations
• Generate high-quality annotations with the Segment Anything Model (SAM2)
• Evaluate model performance and debug predictions using real AgTec scenarios

Prerequisites: working knowledge of Python and basic computer vision concepts.

Resources: All attendees will get access to the tutorials, videos, and code examples used in the workshop.

Learn how to:

• Visualize complex datasets
• Explore embeddings
• Analyze and improve models
• Perform advanced data curation
• Build integrations with popular ML tools, models, and datasets

This special AgTec edition of our “Getting Started with FiftyOne” workshop series is designed for researchers, engineers, and practitioners working with visual data in agriculture. Through practical examples using a Colombian coffee dataset, you’ll gain a deep understanding of data-centric AI workflows tailored to the challenges of the AgTec space.

Date and Location

* Oct 28, 2025 * 9:00-10:30 AM Pacific * Online. Register for the Zoom!

Want greater visibility into the quality of your computer vision datasets and models? Then join us for this free 90-minute, hands-on workshop to learn how to leverage the open source FiftyOne computer vision toolset. At the end of the workshop, you’ll be able to:

• Load and visualize agricultural datasets with complex labels
• Explore data insights interactively using embeddings and statistics
• Work with geolocation and map-based visualizations
• Generate high-quality annotations with the Segment Anything Model (SAM2)
• Evaluate model performance and debug predictions using real AgTec scenarios

Prerequisites: working knowledge of Python and basic computer vision concepts.

Resources: All attendees will get access to the tutorials, videos, and code examples used in the workshop.

Learn how to:

• Visualize complex datasets
• Explore embeddings
• Analyze and improve models
• Perform advanced data curation
• Build integrations with popular ML tools, models, and datasets

This special AgTec edition of our “Getting Started with FiftyOne” workshop series is designed for researchers, engineers, and practitioners working with visual data in agriculture. Through practical examples using a Colombian coffee dataset, you’ll gain a deep understanding of data-centric AI workflows tailored to the challenges of the AgTec space.

Date and Location

* Oct 28, 2025 * 9:00-10:30 AM Pacific * Online. Register for the Zoom!

Want greater visibility into the quality of your computer vision datasets and models? Then join us for this free 90-minute, hands-on workshop to learn how to leverage the open source FiftyOne computer vision toolset. At the end of the workshop, you’ll be able to:

• Load and visualize agricultural datasets with complex labels
• Explore data insights interactively using embeddings and statistics
• Work with geolocation and map-based visualizations
• Generate high-quality annotations with the Segment Anything Model (SAM2)
• Evaluate model performance and debug predictions using real AgTec scenarios

Prerequisites: working knowledge of Python and basic computer vision concepts.

Resources: All attendees will get access to the tutorials, videos, and code examples used in the workshop.

Learn how to:

• Visualize complex datasets
• Explore embeddings
• Analyze and improve models
• Perform advanced data curation
• Build integrations with popular ML tools, models, and datasets

This special AgTec edition of our “Getting Started with FiftyOne” workshop series is designed for researchers, engineers, and practitioners working with visual data in agriculture. Through practical examples using a Colombian coffee dataset, you’ll gain a deep understanding of data-centric AI workflows tailored to the challenges of the AgTec space.

Date and Location

* Oct 28, 2025 * 9:00-10:30 AM Pacific * Online. Register for the Zoom!

Want greater visibility into the quality of your computer vision datasets and models? Then join us for this free 90-minute, hands-on workshop to learn how to leverage the open source FiftyOne computer vision toolset. At the end of the workshop, you’ll be able to:

• Load and visualize agricultural datasets with complex labels
• Explore data insights interactively using embeddings and statistics
• Work with geolocation and map-based visualizations
• Generate high-quality annotations with the Segment Anything Model (SAM2)
• Evaluate model performance and debug predictions using real AgTec scenarios

Prerequisites: working knowledge of Python and basic computer vision concepts.

Resources: All attendees will get access to the tutorials, videos, and code examples used in the workshop.

Learn how to:

• Visualize complex datasets
• Explore embeddings
• Analyze and improve models
• Perform advanced data curation
• Build integrations with popular ML tools, models, and datasets

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.

Register for the Zoom

https://voxel51.com/computer-vision-events/getting-started-with-fiftyone-workshop-oct-30-2024/

About the workshop

Want greater visibility into the quality of your computer vision datasets and models? Then join Harpreet Sahota, Hacker in Residence and Machine Learning Engineer at Voxel51, for this free 90-minute, hands-on workshop to learn how to leverage the open source FiftyOne computer vision toolset.

In the first part of the workshop we’ll cover:

• 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 *

The second half will be 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
• Save insightful views into the data

Prerequisites are a working knowledge of Python and basic computer vision. All attendees will get access to the tutorials, videos, and code examples used in the workshop.

About the Instructor

Harpreet Sahota is a hacker-in-residence and machine learning engineer with a passion for deep learning and generative AI. He’s got a deep interest in RAG, Agents, and Multimodal AI.

Register for the Zoom

https://voxel51.com/computer-vision-events/getting-started-with-fiftyone-workshop-oct-30-2024/

About the workshop

Want greater visibility into the quality of your computer vision datasets and models? Then join Harpreet Sahota, Hacker in Residence and Machine Learning Engineer at Voxel51, for this free 90-minute, hands-on workshop to learn how to leverage the open source FiftyOne computer vision toolset.

In the first part of the workshop we’ll cover:

• 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 *

The second half will be 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
• Save insightful views into the data

Prerequisites are a working knowledge of Python and basic computer vision. All attendees will get access to the tutorials, videos, and code examples used in the workshop.

About the Instructor

Harpreet Sahota is a hacker-in-residence and machine learning engineer with a passion for deep learning and generative AI. He’s got a deep interest in RAG, Agents, and Multimodal AI.