Add new yolo formats is (#23)

* Mention support for up to YOLOv11 in docs

* Update links in readme to hosted docs

* Add support for YOLOv9 - 11

Author: IgorSusmelj

README.md

@@ -19,18 +19,21 @@ and time-consuming. Labelformat aims to solve this pain.
 #### Supported Tasks and Formats
 
 - object-detection
-    - [COCO](https://cocodataset.org/#format-data)
-    - [KITTI](https://github.com/bostondiditeam/kitti/blob/master/resources/devkit_object/readme.txt)
-    - [Lightly](https://docs.lightly.ai/docs/prediction-format#prediction-format)
-    - [PascalVOC](http://host.robots.ox.ac.uk/pascal/VOC/voc2012/index.html#devkit)
-    - [YOLOv5](https://github.com/ultralytics/yolov5)
-    - [YOLOv6](https://github.com/meituan/YOLOv6)
-    - [YOLOv7](https://github.com/WongKinYiu/yolov7)
-    - [YOLOv8](https://docs.ultralytics.com/datasets/detect/)
-    - [Labelbox](https://docs.labelbox.com/reference/label-export) (input only)
+    - [COCO](https://labelformat.com/formats/object-detection/coco/)
+    - [KITTI](https://labelformat.com/formats/object-detection/kitti/)
+    - [Labelbox](https://labelformat.com/formats/object-detection/labelbox/) (input only)
+    - [Lightly](https://labelformat.com/formats/object-detection/lightly/)
+    - [PascalVOC](https://labelformat.com/formats/object-detection/pascalvoc/)
+    - [YOLOv5](https://labelformat.com/formats/object-detection/yolov5/)
+    - [YOLOv6](https://labelformat.com/formats/object-detection/yolov6/)
+    - [YOLOv7](https://labelformat.com/formats/object-detection/yolov7/)
+    - [YOLOv8](https://labelformat.com/formats/object-detection/yolov8/)
+    - [YOLOv9](https://labelformat.com/formats/object-detection/yolov9/)
+    - [YOLOv10](https://labelformat.com/formats/object-detection/yolov10/)
+    - [YOLOv11](https://labelformat.com/formats/object-detection/yolov11/)
 - instance-segmentation
-    - [COCO](https://cocodataset.org/#format-data)
-    - [YOLOv8](https://docs.ultralytics.com/datasets/segment/)
+    - COCO
+    - YOLOv8
 
 #### Features
 

docs/index.md

@@ -8,7 +8,7 @@ Welcome to **Labelformat**—an open-source tool designed to effortlessly conver
 
 ## Why Choose Labelformat?
 
-- **Comprehensive Format Support:** Convert seamlessly between formats like COCO, YOLOv5-8, PascalVOC, KITTI, and more.
+- **Comprehensive Format Support:** Convert seamlessly between formats like COCO, YOLOv5-11, PascalVOC, KITTI, and more.
 - **Ease of Use:** Intuitive CLI and Python API for flexible integration into your workflows.
 - **Efficiency:** Memory-conscious processing ensures optimal performance, even with large datasets.
 - **Reliability:** Thoroughly tested with round-trip tests to maintain label consistency.

src/labelformat/cli/cli.py

@@ -21,7 +21,7 @@ def main() -> None:
 The CLI interface is available as the `labelformat` command.
 
 Supported label formats for object detection:
-- YOLOv5, YOLOv6, YOLOv7, YOLOv8
+- YOLOv5, YOLOv6, YOLOv7, YOLOv8, YOLOv9, YOLOv10, YOLOv11
 - COCO
 - VOC
 - Labelbox

src/labelformat/formats/__init__.py

@@ -35,3 +35,15 @@
     YOLOv8ObjectDetectionInput,
     YOLOv8ObjectDetectionOutput,
 )
+from labelformat.formats.yolov9 import (
+    YOLOv9ObjectDetectionInput,
+    YOLOv9ObjectDetectionOutput,
+)
+from labelformat.formats.yolov10 import (
+    YOLOv10ObjectDetectionInput,
+    YOLOv10ObjectDetectionOutput,
+)
+from labelformat.formats.yolov11 import (
+    YOLOv11ObjectDetectionInput,
+    YOLOv11ObjectDetectionOutput,
+)

src/labelformat/formats/yolov10.py

@@ -0,0 +1,17 @@
+from labelformat.cli.registry import Task, cli_register
+
+from .yolov8 import YOLOv8ObjectDetectionInput, YOLOv8ObjectDetectionOutput
+
+"""
+YOLOv10 format follows the same specs as YOLOv8.
+"""
+
+
+@cli_register(format="yolov10", task=Task.OBJECT_DETECTION)
+class YOLOv10ObjectDetectionInput(YOLOv8ObjectDetectionInput):
+    pass
+
+
+@cli_register(format="yolov10", task=Task.OBJECT_DETECTION)
+class YOLOv10ObjectDetectionOutput(YOLOv8ObjectDetectionOutput):
+    pass

src/labelformat/formats/yolov11.py

@@ -0,0 +1,17 @@
+from labelformat.cli.registry import Task, cli_register
+
+from .yolov8 import YOLOv8ObjectDetectionInput, YOLOv8ObjectDetectionOutput
+
+"""
+YOLOv11 format follows the same specs as YOLOv8.
+"""
+
+
+@cli_register(format="yolov11", task=Task.OBJECT_DETECTION)
+class YOLOv11ObjectDetectionInput(YOLOv8ObjectDetectionInput):
+    pass
+
+
+@cli_register(format="yolov11", task=Task.OBJECT_DETECTION)
+class YOLOv11ObjectDetectionOutput(YOLOv8ObjectDetectionOutput):
+    pass

src/labelformat/formats/yolov9.py

@@ -0,0 +1,17 @@
+from labelformat.cli.registry import Task, cli_register
+
+from .yolov8 import YOLOv8ObjectDetectionInput, YOLOv8ObjectDetectionOutput
+
+"""
+YOLOv9 format follows the same specs as YOLOv8.
+"""
+
+
+@cli_register(format="yolov9", task=Task.OBJECT_DETECTION)
+class YOLOv9ObjectDetectionInput(YOLOv8ObjectDetectionInput):
+    pass
+
+
+@cli_register(format="yolov9", task=Task.OBJECT_DETECTION)
+class YOLOv9ObjectDetectionOutput(YOLOv8ObjectDetectionOutput):
+    pass