HongChuang/ultralytics-ascend
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions 3

ultralytics 8.0.151 add DOTAv2.yaml for OBB training (#4258)

Browse source 
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Kayzwer <68285002+Kayzwer@users.noreply.github.com>
This commit is contained in:
Glenn Jocher 2023-08-10 00:55:36 +02:00 • committed by GitHub
parent a76af55533
commit c9be1f3cce
No known key found for this signature in database
GPG key ID: 4AEE18F83AFDEB23
46 changed files with 805 additions and 303 deletions
Download patch file Download diff file Expand all files Collapse all files

28
docs/datasets/detect/visdrone.md
View file

@ -49,7 +49,7 @@ To train a YOLOv8n model on the VisDrone dataset for 100 epochs with an image si
model = YOLO('yolov8n.pt') # load a pretrained model (recommended for training)
# Train the model
model.train(data='VisDrone.yaml', epochs=100, imgsz=640)
results = model.train(data='VisDrone.yaml', epochs=100, imgsz=640)
```
=== "CLI"
@ -73,16 +73,20 @@ The example showcases the variety and complexity of the data in the VisDrone dat
If you use the VisDrone dataset in your research or development work, please cite the following paper:
```bibtex
@ARTICLE{9573394,
author={Zhu, Pengfei and Wen, Longyin and Du, Dawei and Bian, Xiao and Fan, Heng and Hu, Qinghua and Ling, Haibin},
journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
title={Detection and Tracking Meet Drones Challenge},
year={2021},
volume={},
number={},
pages={1-1},
doi={10.1109/TPAMI.2021.3119563}}
```
!!! note ""
=== "BibTeX"
```bibtex
@ARTICLE{9573394,
author={Zhu, Pengfei and Wen, Longyin and Du, Dawei and Bian, Xiao and Fan, Heng and Hu, Qinghua and Ling, Haibin},
journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
title={Detection and Tracking Meet Drones Challenge},
year={2021},
volume={},
number={},
pages={1-1},
doi={10.1109/TPAMI.2021.3119563}}
```
We would like to acknowledge the AISKYEYE team at the Lab of Machine Learning and Data Mining, Tianjin University, China, for creating and maintaining the VisDrone dataset as a valuable resource for the drone-based computer vision research community. For more information about the VisDrone dataset and its creators, visit the [VisDrone Dataset GitHub repository](https://github.com/VisDrone/VisDrone-Dataset).