Merge branch 'main' into ci_matrix_tests

.github/workflows/links.yml

@@ -34,13 +34,13 @@ jobs:
           retry_wait_seconds: 60
           max_attempts: 3
           command: |
-            lychee 
-            --accept 403,429,500,502,999 
-            --exclude-loopback 
-            --exclude 'https?://(www\.)?(linkedin\.com|twitter\.com|instagram\.com|kaggle\.com|fonts\.gstatic\.com|url\.com)' 
-            --exclude-path '**/ci.yaml' 
-            --github-token ${{ secrets.GITHUB_TOKEN }} 
-            './**/*.md' 
+            lychee \
+            --accept 403,429,500,502,999 \
+            --exclude-loopback \
+            --exclude 'https?://(www\.)?(linkedin\.com|twitter\.com|instagram\.com|kaggle\.com|fonts\.gstatic\.com|url\.com)' \
+            --exclude-path '**/ci.yaml' \
+            --github-token ${{ secrets.GITHUB_TOKEN }} \
+            './**/*.md' \
             './**/*.html'
 
       - name: Test Markdown, HTML, YAML, Python and Notebook links with retry
@@ -51,15 +51,15 @@ jobs:
           retry_wait_seconds: 60
           max_attempts: 3
           command: |
-            lychee 
-            --accept 429,999 
-            --exclude-loopback 
-            --exclude 'https?://(www\.)?(linkedin\.com|twitter\.com|instagram\.com|kaggle\.com|fonts\.gstatic\.com|url\.com)' 
-            --exclude-path '**/ci.yaml' 
-            --github-token ${{ secrets.GITHUB_TOKEN }} 
-            './**/*.md' 
-            './**/*.html' 
-            './**/*.yml' 
-            './**/*.yaml' 
-            './**/*.py' 
+            lychee \
+            --accept 429,999 \
+            --exclude-loopback \
+            --exclude 'https?://(www\.)?(linkedin\.com|twitter\.com|instagram\.com|kaggle\.com|fonts\.gstatic\.com|url\.com)' \
+            --exclude-path '**/ci.yaml' \
+            --github-token ${{ secrets.GITHUB_TOKEN }} \
+            './**/*.md' \
+            './**/*.html' \
+            './**/*.yml' \
+            './**/*.yaml' \
+            './**/*.py' \
             './**/*.ipynb'

example_datasets/dota8/README.md

@@ -0,0 +1,19 @@
+# Ultralytics DOTA8 Dataset
+
+## Introduction
+
+[Ultralytics](https://ultralytics.com) DOTA8 is a small, but versatile oriented object detection dataset composed of 8 images of the split DOTAv1 set, 4 for training and 4 for validation. This dataset is ideal for testing and debugging oriented object detection models, or for experimenting with new detection approaches. With 8 images, it is small enough to be easily manageable, yet diverse enough to test training pipelines for errors and act as a sanity check before training larger datasets.
+
+This dataset is intended for use with Ultralytics [HUB](https://hub.ultralytics.com) and [YOLOv8](https://github.com/ultralytics/ultralytics).
+
+## Resources
+
+We hope that the variety of resources provided here will help you get the most out of HUB and maximize your experience with HUB and DOTA8.
+
+- Browse the [Docs](https://docs.ultralytics.com/) for details on usage and implementation.
+- Raise an issue on [GitHub](https://github.com/ultralytics/hub/issues/new/choose) for support and troubleshooting.
+- Join our [Discord](https://ultralytics.com/discord) community for questions and discussions with fellow users and developers.
+- Learn more about Ultralytics and our work at our [Community](https://community.ultralytics.com) page.
+- Explore the Ultralytics YOLOv8 [GitHub](https://github.com/ultralytics/ultralytics) repository for additional tools and resources.
+
+To request an Enterprise License, please complete the form at [Ultralytics Licensing](https://ultralytics.com/license).

example_datasets/dota8/dota8.yaml

@@ -0,0 +1,29 @@
+# Ultralytics YOLO 🚀, AGPL-3.0 license
+# DOTA8 dataset 8 images from split DOTAv1 dataset by Ultralytics
+# Documentation: https://docs.ultralytics.com/datasets/obb/dota8/
+# Example usage: yolo train model=yolov8n-obb.pt data=dota8.yaml
+# parent
+# ├── ultralytics
+# └── datasets
+#     └── dota8  ← downloads here (1MB)
+
+train: images/train  # train images (relative to 'path') 4 images
+val: images/val  # val images (relative to 'path') 4 images
+
+# Classes for DOTA 1.0
+names:
+  0: plane
+  1: ship
+  2: storage tank
+  3: baseball diamond
+  4: tennis court
+  5: basketball court
+  6: ground track field
+  7: harbor
+  8: bridge
+  9: large vehicle
+  10: small vehicle
+  11: helicopter
+  12: roundabout
+  13: soccer ball field
+  14: swimming pool

example_datasets/dota8/labels/train/P0861__1024__0___1648.txt

@@ -0,0 +1,110 @@
+1 0.813477 0.523437 0.814453 0.504882 0.87207 0.504882 0.87207 0.524414
+1 0.81836 0.451172 0.817384 0.434571 0.871094 0.434571 0.870117 0.453126
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+1 0.823241 0.250001 0.823241 0.234375 0.875001 0.23828 0.874022 0.251953
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+1 0.823241 0.208984 0.824218 0.192383 0.87793 0.195311 0.878906 0.210938
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+1 0.821289 0.166992 0.821289 0.151368 0.868165 0.152343 0.868165 0.167969
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+1 0.807617 0.393554 0.807617 0.414063 0.753907 0.412109 0.753907 0.390626
+1 0.806641 0.372071 0.805664 0.389649 0.75586 0.388672 0.754883 0.371094
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+1 0.810548 0.325194 0.810548 0.343749 0.752929 0.341798 0.753907 0.322266
+1 0.75 0.319335 0.75 0.298829 0.809569 0.30078 0.809569 0.320312
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+1 0.809569 0.25586 0.807617 0.276366 0.751952 0.274415 0.751952 0.253906
+1 0.809569 0.235352 0.809569 0.251953 0.741211 0.250001 0.741211 0.231447
+1 0.808593 0.212892 0.808593 0.231447 0.752929 0.230469 0.752929 0.209961
+1 0.808593 0.192383 0.808593 0.207033 0.75586 0.207033 0.75586 0.189452
+1 0.750976 0.18457 0.751952 0.164061 0.8125 0.168946 0.811524 0.187501
+1 0.8125 0.148437 0.811524 0.165038 0.763672 0.164061 0.763672 0.147461
+1 0.816405 0.0957043 0.815429 0.105469 0.782227 0.102538 0.782227 0.0947274
+1 0.815429 0.109374 0.815429 0.124024 0.77246 0.121093 0.77246 0.107423
+1 0.815429 0.127929 0.816405 0.145507 0.759765 0.144532 0.759765 0.128906
+1 0.810548 0.605469 0.811524 0.585937 0.880858 0.589843 0.879882 0.609374
+1 0.59375 0.114259 0.601562 0.0996096 0.653321 0.125 0.642578 0.138673
+1 0.617186 0.0683594 0.62793 0.0517586 0.673827 0.0751957 0.663086 0.0917963
+1 0.365234 0.0351553 0.371094 0.0156262 0.416991 0.029296 0.41211 0.0468737
+1 0.192383 0.155274 0.197266 0.140624 0.242188 0.15332 0.237304 0.166015
+1 0.19043 0.133788 0.194336 0.117187 0.25 0.128906 0.246093 0.147461
+1 0.201172 0.104492 0.205078 0.0927733 0.249024 0.103515 0.24414 0.114259
+1 0.202148 0.0849601 0.208984 0.0693364 0.260743 0.082032 0.25586 0.0976555
+1 0.269532 0.0361323 0.264648 0.0517586 0.21582 0.0390632 0.219727 0.0244138
+1 0.223632 0.0146493 0.228516 -0.0029285 0.277344 0.0107412 0.272461 0.0273447
+1 0.427735 0.00585902 0.422851 0.0244138 0.373046 0.0117183 0.378906 -0.00781345
+1 0.361329 0.0595692 0.36621 0.0400403 0.411134 0.0527357 0.405274 0.0712905
+1 0.69629 0.0244138 0.687499 0.0390632 0.648438 0.0175775 0.65625 0.00293076
+1 0.350586 0.100587 0.354493 0.0839832 0.401367 0.0976555 0.395507 0.114259
+1 0.317382 0.202148 0.314453 0.212892 0.249024 0.197265 0.252929 0.18457
+1 0.172852 0.176757 0.175781 0.166015 0.208008 0.172851 0.205078 0.181642
+1 0.205078 0.185547 0.208984 0.171874 0.251952 0.185547 0.248047 0.197265
+1 0.351562 0.208984 0.348633 0.219725 0.317382 0.210938 0.320313 0.200196
+1 0.385742 0.216797 0.384766 0.228516 0.350586 0.221679 0.352538 0.208984
+1 0.435547 0.208984 0.432618 0.222656 0.38379 0.212892 0.387695 0.200196
+1 0.391602 0.192383 0.395507 0.178711 0.432618 0.187501 0.427735 0.201171
+1 0.442383 0.167969 0.439454 0.182616 0.397462 0.172851 0.401367 0.160156
+1 0.447266 0.149414 0.443359 0.163087 0.401367 0.154297 0.405274 0.139647
+1 0.411134 0.136719 0.415039 0.121093 0.449219 0.13086 0.445312 0.143555
+1 0.413086 0.112305 0.41797 0.0996096 0.449219 0.107423 0.445312 0.121093
+1 0.418946 0.0937504 0.423827 0.0791008 0.463867 0.0908194 0.458984 0.104492
+1 0.429687 0.0468737 0.432618 0.034181 0.483399 0.0458995 0.478516 0.0605463
+1 0.432618 0.028319 0.438476 0.00879002 0.487304 0.0214854 0.482423 0.0400403
+1 0.310548 0.187501 0.314453 0.173828 0.379882 0.188478 0.375977 0.202148
+1 0.31836 0.166015 0.323242 0.151368 0.38379 0.166992 0.379882 0.181642
+1 0.31836 0.143555 0.325196 0.125978 0.390626 0.143555 0.384766 0.160156
+1 0.862305 0.299803 0.862305 0.31543 0.817384 0.314453 0.81836 0.299803
+1 1.01465 0.458985 1.01465 0.476563 0.962891 0.475586 0.963867 0.457031
+1 1.01074 0.397462 1.01074 0.413086 0.970703 0.412109 0.969727 0.395508
+1 1.00976 0.214843 1.00976 0.226562 0.97461 0.226562 0.975587 0.214843
+1 1.00879 0.480468 1.00879 0.493164 0.968751 0.493164 0.967774 0.479491
+1 1.01074 0.500977 1.00976 0.512695 0.971679 0.513672 0.970703 0.5
+1 0.976563 0.532227 0.975587 0.518555 1.00586 0.520509 1.00586 0.534178
+1 1.0127 0.539063 1.0127 0.552733 0.96582 0.551759 0.966796 0.538086
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+7 0.558593 0.362304 0.626953 0.325194 0.748047 0.580078 0.691407 0.608397
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+7 0.375001 -0.0126957 0.491211 0.0156262 0.441407 0.219725 0.324218 0.187501
+7 0.230468 -0.0595696 0.291992 -0.0429689 0.240235 0.169923 0.176758 0.151368
+1 0.589845 0.370117 0.581054 0.352539 0.623046 0.328125 0.635742 0.347657
+1 0.619141 0.358399 0.623046 0.368163 0.595702 0.381836 0.589845 0.371094
+1 0.598633 0.399413 0.592773 0.387695 0.625001 0.374022 0.629882 0.385743
+1 0.607422 0.413086 0.602538 0.401367 0.63379 0.390626 0.638671 0.402344
+1 0.617186 0.430663 0.610353 0.417968 0.640626 0.402344 0.646485 0.41504
+1 0.626953 0.443359 0.621094 0.43164 0.647462 0.420899 0.653321 0.432617
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+1 0.679687 0.549805 0.673827 0.539063 0.699219 0.528319 0.704102 0.538086
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+1 0.663086 0.543946 0.652343 0.549805 0.637695 0.518555 0.647462 0.514649
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+1 0.61621 0.451172 0.606445 0.455077 0.589845 0.428712 0.600586 0.423827
+1 0.573242 0.386718 0.565429 0.390626 0.551757 0.36914 0.5625 0.365235
+1 0.176758 0.101563 0.189453 0.104492 0.183594 0.128906 0.171875 0.125
+1 0.185547 0.0742186 0.197266 0.0761727 0.188477 0.100587 0.179688 0.0976555
+1 0.193359 0.0419915 0.204102 0.0458995 0.195313 0.0751957 0.183594 0.0712905

example_datasets/dota8/labels/train/P1053__1024__0___90.txt

@@ -0,0 +1,13 @@
+10 0.166016 0.492188 0.15039 0.500977 0.132812 0.467773 0.148438 0.458007
+10 0.276367 0.179688 0.260743 0.188476 0.245117 0.156251 0.261719 0.146485
+10 0.27832 0.321289 0.263671 0.331055 0.24707 0.301758 0.260743 0.291992
+10 0.183594 0.225586 0.168946 0.231446 0.160157 0.206054 0.173828 0.200195
+14 0.506836 0.16211 0.689453 0.168945 0.682617 0.298828 0.499023 0.289062
+4 0.816406 0.21582 0.900391 0.22168 0.889648 0.396484 0.808593 0.391602
+4 0.90332 0.545898 0.987304 0.549805 0.978515 0.727539 0.891601 0.72168
+4 0.771485 0.506836 0.853515 0.510742 0.844726 0.6875 0.760742 0.683594
+4 0.636719 0.498047 0.719726 0.503907 0.709961 0.679688 0.625977 0.673829
+4 0.500976 0.516601 0.584961 0.521485 0.575195 0.698242 0.491211 0.692383
+4 0.366211 0.509766 0.451173 0.515625 0.441406 0.69043 0.356446 0.683594
+4 0.224609 0.646484 0.307617 0.651367 0.297852 0.828125 0.214844 0.821289
+4 0.0927734 0.638672 0.175781 0.644532 0.165039 0.820312 0.0800782 0.81543

example_datasets/dota8/labels/train/P1142__1024__0___824.txt

@@ -0,0 +1 @@
+0 0.779296 0.690429 0.625976 0.451171 0.88965 0.266601 1.04199 0.51465

example_datasets/dota8/labels/train/P1161__1024__3296___1648.txt

@@ -0,0 +1 @@
+0 0.33789 0.984377 0.1875 1.05664 0.111329 0.89844 0.267575 0.828125

example_datasets/dota8/labels/val/P1470__1024__3296___1648.txt

@@ -0,0 +1,4 @@
+13 0.241213 0.0185549 0.63672 0.0185549 0.63672 0.281247 0.241213 0.281247
+5 0.659178 0.020506 0.779298 0.020506 0.779298 0.229495 0.659178 0.229495
+5 0.781248 0.020506 0.902341 0.020506 0.902341 0.229495 0.781248 0.229495
+5 0.905276 0.0185549 1.02246 0.0185549 1.02246 0.227538 0.905276 0.227538

example_datasets/dota8/labels/val/P1571__1024__2976___0.txt

@@ -0,0 +1 @@
+3 0.895508 0.454102 0.90918 0.508791 0.856445 0.525389 0.84082 0.469727

example_datasets/dota8/labels/val/P1580__1024__824___824.txt

@@ -0,0 +1,2 @@
+3 0.867188 0.578125 0.912109 0.620117 0.864258 0.658203 0.820312 0.614258
+3 0.834961 0.43457 0.823242 0.387695 0.87207 0.37793 0.883789 0.423828

example_datasets/dota8/labels/val/P1724__1024__0___824.txt

@@ -0,0 +1 @@
+3 0.264648 0.892579 0.331055 0.882811 0.34082 0.951173 0.277344 0.961914