harvard-edge/Wake_Vision
The code used to generate the Wake Vision dataset for person detection
This project helps machine learning engineers and researchers create specialized datasets for person detection, particularly for TinyML applications. It takes raw images from Open Images V7 and processes them into a filtered dataset ready for training. The output is a high-quality dataset optimized for training lightweight person detection models.
No commits in the last 6 months.
Use this if you need to generate a tailored dataset for developing and evaluating person detection models, especially for resource-constrained devices like microcontrollers.
Not ideal if you are looking for a pre-trained, ready-to-use person detection model or if you do not have technical expertise in machine learning and dataset generation.
Stars
15
Forks
6
Language
Python
License
Apache-2.0
Category
Last pushed
Jul 29, 2025
Commits (30d)
0
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