Model name:yolov8_doc_elements.pt Base model: YOLOv8 (fine-tuned) Task: Object Detection on administrative documents
Description
This model is a fine-tuned version of YOLOv8 specifically trained to detect key elements in administrative documents. It can identify the following classes:
Cachet (stamps or seals)
Emblème (official emblems or logos)
Signature (handwritten or digital signatures)
Titre (document titles)
Devise (mottos or official inscriptions)
It is designed to help automate the analysis and processing of administrative documents by locating and classifying these elements efficiently.
Usage
python
1from ultralytics import YOLO
23# Load the model4model = YOLO("yolov8_doc_elements.pt")56# Run detection on an image7results = model("path_to_document_image.jpg")89# Display results10results.show()
