Understanding Results¶

CSV Output¶

results.csv¶

Single File Mode (Image or Video)¶

filename – processed file or video frame name
face_detected – 1 if a face was found, 0 otherwise
face_count – number of faces in the image or frame
face_X_x, face_X_y – center coordinates of each face bounding box
face_X_width, face_X_height – dimensions of each face bounding box
face_X_confidence – confidence score for each detected face

Folder Mode¶

Same columns as single file mode but includes entries for every processed file or video frame in the folder.

summary.csv¶

Single File Mode¶

path – name of the processed file
type – image or video
total_processed_frames – number of frames processed (1 for images)
total_duration – video duration in seconds (N/A for images)
processed_frames_with_faces – frames where faces were detected
face_percentage – percentage of frames with faces
model – detection model used
confidence_threshold – threshold applied during detection

Folder Mode¶

Same columns as single file mode but provides two rows summarising: 1. All images in the folder 2. All videos in the folder

Each row contains aggregate values for path, type, total processed frames, total duration, frames with faces, face percentage, model, and confidence threshold.

Image Output¶

The application saves visual outputs for all images and video frames with detected faces.

Bounding Boxes¶

Green rectangles show each detected face and match the coordinates in results.csv

Confidence Scores¶

Each bounding box displays the detection confidence between 0 and 1
Values correspond to face_X_confidence in results.csv

Output File Names¶

For images, the output file retains the original name
For videos, each processed frame is saved separately using the format [video_name]_[frame_number]_[timestamp].jpg

These outputs make it easy to verify detection results and assess model performance.