Driving Street Scenes for Vehicle Detection
Driving Street Scenes for Vehicle Detection
Datasets
Driving Street Scenes for Vehicle Detection
File
Driving Street Scenes for Vehicle Detection
Use Case
Driving Street Scenes for Vehicle Detection
Description
Explore a dataset of 9 fifteen-second driving scene videos in MP4 format, ideal for training machine learning models in vehicle detection, object recognition, and traffic analysis.
Description:
This dataset includes 9 fifteen-second driving scene videos sourced from the internet, designed to support the development and testing of machine learning and computer vision models. The videos capture common driving conditions and street environments, making them ideal for applications in vehicle detection, object recognition, and traffic analysis.
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The videos come in MP4 format at 30 frames per second, with varying video quality—some are of excellent quality, while others are of average quality. This variability provides a diverse range of real-world conditions for training and evaluating models.
Key Features:
- 9 Videos: Each video is 15 seconds long, offering a variety of driving scenarios.
- MP4 Format: All videos are in MP4 format at 30 frames per second.
- Real-World Driving Conditions: Footage captures common street environments and traffic scenarios.
- Applications: Perfect for vehicle detection, object recognition, and traffic analysis models.
This dataset is sourced from Kaggle.
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