The Office Dataset for YOLO Face Detection Model
Dataset composed of 500 images taken from the TV series The Office, with accurate annotations of the faces of the main characters, formatted for direct use with YOLO models.
500 images annotated with YOLO bounding boxes, including main character faces
CC0: Public Domain
Description
The The Office Dataset for YOLO Face Detection Model contains 500 annotated images from the TV series The Office. The annotations are in YOLO format, specially designed for training object detection models that focus on facial recognition of the main characters.
What is this dataset for?
- Train YOLO models specialized in face detection in video or photo contexts.
- Develop facial recognition systems for audiovisual media.
- Evaluate the performance of facial detection algorithms in complex environments.
Can it be enriched or improved?
This dataset can be supplemented by other series or video sources to increase the diversity of faces and expressions. The annotation can be extended to include poses, emotions, or other facial attributes.
🔎 In summary
🧠 Recommended for
- Computer vision researchers
- Media application developers
- Deep learning students
🔧 Compatible tools
- Yolov5/yolov8
- Roboflow
- PyTorch
- TensorFlow Object Detection API
💡 Tip
Combine this dataset with other sources to improve robustness to facial and lighting variations.
Frequently Asked Questions
Does this dataset cover all the characters in The Office series?
No, it focuses on the main characters only.
Are annotations compatible with all versions of YOLO?
Annotations are in standard YOLO format, compatible with most recent versions like YOLOV5 and YOLOV8.
Can this dataset be used for facial recognition?
This dataset is for facial detection, recognition requires additional annotations not provided here.
