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Add KITTI dataset notebook (#78)
Signed-off-by: Muhammad Rizwan Munawar <[email protected]> Co-authored-by: UltralyticsAssistant <[email protected]>
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‎README.md‎

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‎docs/notebooks-data.yml‎

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- title: "Construction-PPE Detection using Ultralytics YOLO"
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file: "notebooks/how-to-train-ultralytics-yolo-on-construction-ppe-detection-dataset.ipynb"
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youtube: ""
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youtube: "https://youtu.be/lFaVnrhMmaE"
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blog: "https://www.ultralytics.com/blog/ai-in-construction-saving-lives-cutting-costs-and-elevating-quality"
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documentation: "https://docs.ultralytics.com/datasets/detect/construction-ppe/"
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dataset: "https://docs.ultralytics.com/datasets/detect/construction-ppe/"
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- title: "Object Detection with KITTI using Ultralytics YOLO"
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file: "notebooks/how-to-train-ultralytics-yolo-on-kitti-detection-dataset.ipynb"
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youtube: ""
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blog: ""
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documentation: "https://docs.ultralytics.com/datasets/detect/kitti/"
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dataset: "https://docs.ultralytics.com/datasets/detect/kitti/"

‎notebooks/how-to-train-ultralytics-yolo-on-brain-tumor-detection-dataset.ipynb‎

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"| [PaddlePaddle](https://docs.ultralytics.com/integrations/paddlepaddle) | `paddle` | `yolo11n_paddle_model/` | ✅ | `imgsz`, `batch` |\n",
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"| [MNN](https://docs.ultralytics.com/integrations/mnn) | `mnn` | `yolo11n.mnn` | ✅ | `imgsz`, `batch`, `int8`, `half` |\n",
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"| [NCNN](https://docs.ultralytics.com/integrations/ncnn) | `ncnn` | `yolo11n_ncnn_model/` | ✅ | `imgsz`, `half`, `batch` |\n",
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"| [IMX500](https://docs.ultralytics.com/integrations/sony-imx500) | `imx` | `yolov8n_imx_model/` | ✅ | `imgsz`, `int8` |\n",
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"| [IMX500](https://docs.ultralytics.com/integrations/sony-imx500) | `imx` | `yolo11n_imx_model/` | ✅ | `imgsz`, `int8` |\n",
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"| [RKNN](https://docs.ultralytics.com/integrations/rockchip-rknn) | `rknn` | `yolo11n_rknn_model/` | ✅ | `imgsz`, `batch`, `name` |"
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],
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"metadata": {

‎notebooks/how-to-train-ultralytics-yolo-on-carparts-segmentation-dataset.ipynb‎

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"| [PaddlePaddle](https://docs.ultralytics.com/integrations/paddlepaddle) | `paddle` | `yolo11n_paddle_model/` | ✅ | `imgsz`, `batch` |\n",
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"| [MNN](https://docs.ultralytics.com/integrations/mnn) | `mnn` | `yolo11n.mnn` | ✅ | `imgsz`, `batch`, `int8`, `half` |\n",
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"| [NCNN](https://docs.ultralytics.com/integrations/ncnn) | `ncnn` | `yolo11n_ncnn_model/` | ✅ | `imgsz`, `half`, `batch` |\n",
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"| [IMX500](https://docs.ultralytics.com/integrations/sony-imx500) | `imx` | `yolov8n_imx_model/` | ✅ | `imgsz`, `int8` |\n",
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"| [IMX500](https://docs.ultralytics.com/integrations/sony-imx500) | `imx` | `yolo11n_imx_model/` | ✅ | `imgsz`, `int8` |\n",
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"| [RKNN](https://docs.ultralytics.com/integrations/rockchip-rknn) | `rknn` | `yolo11n_rknn_model/` | ✅ | `imgsz`, `batch`, `name` |"
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],
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"metadata": {

‎notebooks/how-to-train-ultralytics-yolo-on-construction-ppe-detection-dataset.ipynb‎

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"| [PaddlePaddle](https://docs.ultralytics.com/integrations/paddlepaddle) | `paddle` | `yolo11n_paddle_model/` | ✅ | `imgsz`, `batch` |\n",
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"| [MNN](https://docs.ultralytics.com/integrations/mnn) | `mnn` | `yolo11n.mnn` | ✅ | `imgsz`, `batch`, `int8`, `half` |\n",
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"| [NCNN](https://docs.ultralytics.com/integrations/ncnn) | `ncnn` | `yolo11n_ncnn_model/` | ✅ | `imgsz`, `half`, `batch` |\n",
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"| [IMX500](https://docs.ultralytics.com/integrations/sony-imx500) | `imx` | `yolov8n_imx_model/` | ✅ | `imgsz`, `int8` |\n",
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"| [IMX500](https://docs.ultralytics.com/integrations/sony-imx500) | `imx` | `yolo11n_imx_model/` | ✅ | `imgsz`, `int8` |\n",
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"| [RKNN](https://docs.ultralytics.com/integrations/rockchip-rknn) | `rknn` | `yolo11n_rknn_model/` | ✅ | `imgsz`, `batch`, `name` |"
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]
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},

‎notebooks/how-to-train-ultralytics-yolo-on-crack-segmentation-dataset.ipynb‎

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"| [PaddlePaddle](https://docs.ultralytics.com/integrations/paddlepaddle) | `paddle` | `yolo11n_paddle_model/` | ✅ | `imgsz`, `batch` |\n",
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"| [MNN](https://docs.ultralytics.com/integrations/mnn) | `mnn` | `yolo11n.mnn` | ✅ | `imgsz`, `batch`, `int8`, `half` |\n",
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"| [NCNN](https://docs.ultralytics.com/integrations/ncnn) | `ncnn` | `yolo11n_ncnn_model/` | ✅ | `imgsz`, `half`, `batch` |\n",
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"| [IMX500](https://docs.ultralytics.com/integrations/sony-imx500) | `imx` | `yolov8n_imx_model/` | ✅ | `imgsz`, `int8` |\n",
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"| [IMX500](https://docs.ultralytics.com/integrations/sony-imx500) | `imx` | `yolo11n_imx_model/` | ✅ | `imgsz`, `int8` |\n",
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"| [RKNN](https://docs.ultralytics.com/integrations/rockchip-rknn) | `rknn` | `yolo11n_rknn_model/` | ✅ | `imgsz`, `batch`, `name` |"
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],
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"metadata": {

‎notebooks/how-to-train-ultralytics-yolo-on-homeobjects-dataset.ipynb‎

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"| [PaddlePaddle](https://docs.ultralytics.com/integrations/paddlepaddle) | `paddle` | `yolo11n_paddle_model/` | ✅ | `imgsz`, `batch` |\n",
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"| [MNN](https://docs.ultralytics.com/integrations/mnn) | `mnn` | `yolo11n.mnn` | ✅ | `imgsz`, `batch`, `int8`, `half` |\n",
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"| [NCNN](https://docs.ultralytics.com/integrations/ncnn) | `ncnn` | `yolo11n_ncnn_model/` | ✅ | `imgsz`, `half`, `batch` |\n",
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"| [IMX500](https://docs.ultralytics.com/integrations/sony-imx500) | `imx` | `yolov8n_imx_model/` | ✅ | `imgsz`, `int8` |\n",
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"| [IMX500](https://docs.ultralytics.com/integrations/sony-imx500) | `imx` | `yolo11n_imx_model/` | ✅ | `imgsz`, `int8` |\n",
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"| [RKNN](https://docs.ultralytics.com/integrations/rockchip-rknn) | `rknn` | `yolo11n_rknn_model/` | ✅ | `imgsz`, `batch`, `name` |"
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]
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},

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