google/youtube-8m resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

2378 stars · 848 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Starter code from Google for training and evaluating TensorFlow models on the YouTube-8M large-scale labeled video dataset. It provides an end-to-end example covering dataset reading, model training, and evaluation, including support for the Segments dataset with human-verified temporal annotations.

Use cases

• train video classification models on the youtube-8m dataset
• learn how to read frame-level video feature files in tensorflow
• run a kaggle video understanding challenge baseline
• evaluate video models at segment-level granularity
• train models on google cloud ml platform
• export a trained video model for mediapipe inference

When to choose

• you want a working baseline for the YouTube-8M or YouTube-8M Segments datasets
• you are participating in a YouTube-8M Kaggle challenge
• you need an end-to-end TensorFlow example for large-scale video classification

When to avoid

• you need a general-purpose video processing toolkit rather than dataset-specific training code
• you work with modern TensorFlow 2.x or PyTorch exclusively and cannot adapt TF 1.x-era code
• you need actively maintained code - the repo has not seen recent releases

Facets

dataset · maturity maintenance

machine-learning deep-learning video-processing data-science machine-learning computer-vision artificial-intelligence python cloud tensorflow video-understanding youtube-8m starter-code kaggle video-classification frame-level-features video gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="google/youtube-8m")