Updated model card
Browse files
README.md
CHANGED
|
@@ -1,3 +1,17 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
# YOLOv11 Document Layout
|
| 2 |
|
| 3 |
This page documents a comprehensive study on Document Layout Analysis using the YOLOv11 model family with the ultralytics library. The primary objective of this project is the training and evaluation of highly optimized YOLO models capable of accurately detecting various elements within documents, such as text blocks, tables, and figures. The models have been finetuned on the DocLayNet dataset that provides a rich variety of annotated document layouts.
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: mit
|
| 3 |
+
datasets:
|
| 4 |
+
- ds4sd/DocLayNet
|
| 5 |
+
language:
|
| 6 |
+
- en
|
| 7 |
+
base_model:
|
| 8 |
+
- Ultralytics/YOLO11
|
| 9 |
+
pipeline_tag: object-detection
|
| 10 |
+
tags:
|
| 11 |
+
- object-detection
|
| 12 |
+
- document-layout
|
| 13 |
+
---
|
| 14 |
+
|
| 15 |
# YOLOv11 Document Layout
|
| 16 |
|
| 17 |
This page documents a comprehensive study on Document Layout Analysis using the YOLOv11 model family with the ultralytics library. The primary objective of this project is the training and evaluation of highly optimized YOLO models capable of accurately detecting various elements within documents, such as text blocks, tables, and figures. The models have been finetuned on the DocLayNet dataset that provides a rich variety of annotated document layouts.
|