Automated Labeling With Any Foundation Model: From Images to Inference In Less Than 20 Min

Proprietary data is your greatest competitive advantage, whether you’re training your own task-specific models from scratch or fine-tuning the latest SOTA foundation models. In this webinar, we'll show how you can automatically transform and prepare your unstructured image data, which will enable teams of all sizes from startups to enterprises to get started with minimal human involvement and speed up existing labeling operations.

In this webinar, we’ll be covering:

- Leverage an OSS foundation model (Llava) to automatically label training data

- Combine an SDK-driven approach with the Labelbox platform and UI to incorporate human evaluation in the data preparation workflow

- Develop an end-to-end intelligent App using the latest features from Foundry

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MARK GHANNAM

Head of Solutions Engineering - Labelbox

Featured Speakers:

Automated labeling with any foundation model: From images to inference in less than 20 minutes

MIKIKO BAZELEY

Head of DevRel - Labelbox

Trusted by leading Fortune 500 enterprises and AI-fueled companies

Trusted by leading startups and Fortune 500 enterprises