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39 Add https://youtu.be/aeAX6vWpfR0 to docs & `african-wildlife` dataset docs page by RizwanMunawar · Pull Request #9102 · ultralytics/ultralytics · GitHub
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Add https://youtu.be/aeAX6vWpfR0 to docs & african-wildlife dataset docs page #9102

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merged 12 commits into from
Mar 23, 2024

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@RizwanMunawar RizwanMunawar commented Mar 19, 2024

@glenn-jocher

🛠️ PR Summary

Made with ❤️ by Ultralytics Actions

🌟 Summary

Introducing the African Wildlife Dataset for Advanced Animal Detection 🦓🐘🦬

📊 Key Changes

  • New African Wildlife Dataset: A valuable addition focusing on animals like buffalo, elephant, rhino, and zebra for machine learning models.
  • Dataset Structure: Organized into training (1052 images), validation (225 images), and testing (227 images) sets, all with corresponding annotations.
  • Educational and Research Applications: Ideal for tasks such as object detection, tracking, and broad wildlife studies.
  • Enhanced Documentation: Includes dataset details, sample usage for YOLO models, and links to download the dataset YAML configuration.
  • Pose Estimation Videos: Added a new video tutorial for pose estimation, expanding learning resources.
  • Navigation Update: The dataset is now easily accessible through updated website navigation.

🎯 Purpose & Impact

  • Conservation and Research: Aids in wildlife conservation efforts and ecological research by providing a robust tool for animal identification and tracking in their natural habitats.
  • Machine Learning: Enables researchers and developers to train more effective models on animal detection, contributing to advancements in computer vision.
  • Educational Value: Offers a rich resource for students and professionals looking to dive into wildlife recognition and related AI technologies.

By making machine learning more accessible and applicable to real-world scenarios, this dataset not only pushes the boundaries of technology but also contributes significantly towards the conservation and understanding of wildlife.

@RizwanMunawar RizwanMunawar added documentation Improvements or additions to documentation enhancement New feature or request labels Mar 19, 2024
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glenn-jocher commented Mar 20, 2024

@RizwanMunawar ah I just realized we are missing bullet points for the previous dataset and this one in docs/en/datasets/index.md, can you add those?

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@glenn-jocher modifications applied :)

@RizwanMunawar RizwanMunawar changed the title Add african-wildlife dataset docs page Add https://youtu.be/aeAX6vWpfR0 to docs & african-wildlife dataset docs page Mar 20, 2024
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@RizwanMunawar thanks for the fixes, looks good!

@glenn-jocher glenn-jocher merged commit fbb180d into ultralytics:main Mar 23, 2024
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Looks good!

@RizwanMunawar RizwanMunawar deleted the african_wildlife_docs branch March 24, 2024 10:07
DannyCooler added a commit to ecs-enerserv/ultralytics that referenced this pull request Mar 28, 2024
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* `RTDETRDetectionModel` TorchScript, ONNX Predict and Val support (ultralytics#8818)

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* New `MLFLOW_KEEP_RUN_ACTIVE` flag for enhanced MLflow run management (ultralytics#8808)

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* `ultralytics 8.1.26` `LoadImagesAndVideos` batched inference (ultralytics#8817)

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* Update `fraction` arg to employ a random selection (ultralytics#8234)

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* Batch inference fixes (ultralytics#8854)

* Integrate OpenVINO `CUMULATIVE_THROUGHPUT` mode batched inference (ultralytics#8834)

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* Add PaddlePaddle Docs Integrations Page (ultralytics#8858)

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* `ultralytics 8.1.27` batched tracking fixes (ultralytics#8842)

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* Faster batch `same_shapes` (ultralytics#8851)

* More robust PNNX downloads (ultralytics#8866)

* Fix `test_mlflow_keep_run_active()` (ultralytics#8868)

* Add polygon regions drawing support in `object-counting.md` and minor docs update (ultralytics#8885)

* Add TFLite Edge TPU Docs Integrations Page  (ultralytics#8900)

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* Update Docs README (ultralytics#8919)

* Fix `names` bug when exporting YOLOv8-World to ONNX (ultralytics#8941)

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* New test for labels and crops (ultralytics#8861)

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* Optimize TFJS export on ARM64 (ultralytics#8946)

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* Auto-format by https://ultralytics.com/actions

* `ultralytics 8.1.28` avoid * ops on bool Tensors for RT-DETR OpenVINO export (ultralytics#8937)

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* Add https://youtu.be/YDXKa1EljmU and https://youtu.be/5BO0Il_YYAg to Docs (ultralytics#8958)

* `ultralytics 8.1.29` improved disk space checking on correct path (ultralytics#8977)

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* Add OpenVINO Latency vs Throughput modes Docs page (ultralytics#9001)

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* Add `brain-tumor` dataset docs page (ultralytics#9041)

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* Fix Neural Magic links (ultralytics#9144)

* Updating a typo on paddlepaddle.md (ultralytics#9108)

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* `ultralytics 8.1.30` add advanced HUB train arguments (ultralytics#9110)

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* fix yolo classify model loading error (ultralytics#9196)

* Add TF GraphDef Docs Integrations Page (ultralytics#9203)

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* `ultralytics 8.1.31` NCNN and CLIP updates (ultralytics#9235)

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* Fix TypeError in check_cfg() (ultralytics#9245)

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* Add https://youtu.be/aeAX6vWpfR0 to docs & `african-wildlife` dataset docs page (ultralytics#9102)

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* Add TF SavedModel Docs Integrations Page (ultralytics#9162)

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* Limit `ray<2.9.3` due to bug in `ray==2.10.0` (ultralytics#9254)

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* `ultralytics 8.1.32` fix CLIP backwards compatibility (ultralytics#9253)

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* Conda cv2 ImportError libEGL.so.1 fix (ultralytics#9255)

* Fix `IS_PYTHON_3_12` bug (ultralytics#9258)

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* Reverse IoU threshold for NMS docs descriptions (ultralytics#9151)

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* Add `bgr` hyperparameter (ultralytics#9139)

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* Update pyproject.toml `[tool.pytest.ini_options]` (ultralytics#9259)

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* Fix OpenVINO missing batch-size bug (ultralytics#9264)

* `ultralytics 8.1.33` fix HUB model checks (ultralytics#9153)

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* Update Discord and Contributing Guide URLs (ultralytics#9270)

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* Add https://youtu.be/uDrn9QZJ2lk and `object_counting.py`, `ai_gym.py` updates (ultralytics#9265)

* `ultralytics 8.1.34` Inference API robust imgsz checks (ultralytics#9274)

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* Bump contributor-assistant/github-action from 2.3.1 to 2.3.2 in /.github/workflows (ultralytics#9279)

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* Add https://youtu.be/u3pLlgzUeV8 to docs (ultralytics#9367)

* Fix typo in YOLOv8-Libtorch-CPP-Inference (ultralytics#9330)

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* Simplify metrics calculation (ultralytics#9338)

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* Fix typo in example readme (ultralytics#9306)

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* Specify YOLODataset task arg during INT8 calibration (ultralytics#9309)

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* `ultralytics 8.1.35` simplify network modules (ultralytics#9321)

Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

---------

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gkinman pushed a commit to Octasic/ultralytics that referenced this pull request May 30, 2024
… docs page (ultralytics#9102)

Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
puzhiyuan pushed a commit to puzhiyuan/ultralytics that referenced this pull request Oct 18, 2024
… docs page (ultralytics#9102)

Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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