Mirrors/blakeblackshear.frigate
1
0
Fork 0
mirror of https://github.com/blakeblackshear/frigate.git synced 2024-11-26 19:06:11 +01:00
Code Issues Projects Releases Wiki Activity

Update docs for training data

Browse Source
This commit is contained in:
Nicolas Mowen 2024-11-21 13:15:18 -07:00
parent 51a28d3027
commit 3d1c35370d
1 changed files with 15 additions and 1 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

14
docs/docs/configuration/face_recognition.md
View File

@ -19,3 +19,17 @@ Face recognition is disabled by default and requires semantic search to be enabl
face_recognition:
enabled: true
```
## Dataset
The number of images needed for a sufficient training set for face recognition varies depending on several factors:
- Complexity of the task: A simple task like recognizing faces of known individuals may require fewer images than a complex task like identifying unknown individuals in a large crowd.
- Diversity of the dataset: A dataset with diverse images, including variations in lighting, pose, and facial expressions, will require fewer images per person than a less diverse dataset.
- Desired accuracy: The higher the desired accuracy, the more images are typically needed.
However, here are some general guidelines:
- Minimum: For basic face recognition tasks, a minimum of 10-20 images per person is often recommended.
- Recommended: For more robust and accurate systems, 30-50 images per person is a good starting point.
- Ideal: For optimal performance, especially in challenging conditions, 100 or more images per person can be beneficial.