youtube 8m

We have hosted the application youtube 8m in order to run this application in our online workstations with Wine or directly.

Quick description about youtube 8m:

youtube-8m is Google’s open source starter code and reference implementation for training and evaluating machine learning models on the YouTube-8M dataset, one of the largest Video understanding datasets publicly released. The repository provides a complete pipeline for video-level and frame-level modeling using TensorFlow, including data reading, model training, evaluation, and inference. It was developed to support the YouTube-8M Video Understanding Challenge (hosted on Kaggle and featured at ICCV 2019), enabling researchers and practitioners to benchmark Video classification models on large-scale datasets with over millions of labeled videos. The code demonstrates how to process frame-level features, train logistic and deep learning models, evaluate them using metrics like global Average Precision (gAP) and mean Average Precision (mAP), and export trained models for MediaPipe inference.

Features:

• Provides TensorFlow starter code for training and evaluating Video models
• Supports frame-level and video-level feature modeling pipelines
• Includes tools for evaluation, inference, and Kaggle competition submissions
• Compatible with GPU acceleration and Google Cloud AI Platform
• Offers model export for deployment in MediaPipe for real-time inference
• Allows fine-tuning or training on custom TFRecord-based datasets

Programming Language: Python.
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