: Evaluating how different compression levels affect the fine details of the eyelashes and skin texture. 📂 Technical Specifications (Standard) Resolution : Usually pixels (standard for UCF101). Frame Rate : Approximately 25–30 fps. Format : MPEG-4 (MP4).
: Usually a "vlog-style" or tutorial-style shot with a fixed camera angle and focused lighting on the eye area. 🛠️ Common Uses in Tech Researchers use this specific file for: g61129.mp4
Are you trying to (like C3D or Two-Stream) using this video, or : Evaluating how different compression levels affect the
: The video typically shows a close-up of a person applying eyeliner or eyeshadow using a brush or pencil. Format : MPEG-4 (MP4)
: Testing if an AI can pinpoint exactly when the makeup application starts and ends.
It is a specific segment from the dataset, which is a collection of YouTube action videos used to train and test AI models in recognizing human activities. 🎥 Content and Context Action Class : Apply Eye Makeup . Dataset Source : UCF101 (Action Recognition Data Set).
: Training neural networks to identify the "Apply Eye Makeup" action vs. others like "Brushing Teeth."