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README.md
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@@ -55,7 +55,7 @@ When loaded using the `datasets` library, each sample contains the following fie
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- **`image`**: A `PIL.Image` object containing the original RGB image.
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- **`mask`**: A `PIL.Image` object containing the binary segmentation mask.
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- **`class_id`**: The classification label of the load (integer mapped to class name).
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- **`bbox`**: The bounding box coordinates in
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- **`mask_rgb_color`**: An `[R, G, B]` list specifying the RGB triplet associated with the class in the binary mask.
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### Raw data organization (repository files):
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`<class_name> <instance_id> <x_min> <y_min> <width> <height>`,
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where the `<instance_id>` field is
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**Remark 2.** The segmentation masks are provided as **binary RGB images**. They contain only **two** distinct pixel values:
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- **Background:** Black `(0, 0, 0)`.
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- **`image`**: A `PIL.Image` object containing the original RGB image.
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- **`mask`**: A `PIL.Image` object containing the binary segmentation mask.
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- **`class_id`**: The classification label of the load (integer mapped to class name).
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- **`bbox`**: The bounding box coordinates in format `[x_min, y_min, width, height]`.
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- **`mask_rgb_color`**: An `[R, G, B]` list specifying the RGB triplet associated with the class in the binary mask.
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### Raw data organization (repository files):
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`<class_name> <instance_id> <x_min> <y_min> <width> <height>`,
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where the `<instance_id>` field is not relevant in the currently published dataset.
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**Remark 2.** The segmentation masks are provided as **binary RGB images**. They contain only **two** distinct pixel values:
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- **Background:** Black `(0, 0, 0)`.
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