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+ ---
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+ task_categories:
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+ - image-segmentation
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+ task_ids:
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+ - semantic-segmentation
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+ pretty_name: DLCV Final Dataset
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+ size_categories:
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+ - medium
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+ ---
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+
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+ # DLCV Final Dataset
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+
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+ This dataset is used for the **Deep Learning for Computer Vision (DLCV) final project**.
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+ It contains ground-truth layers organized per sample and is designed for training and evaluating computer vision models.
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+
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+ ---
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+
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+ ## πŸ“‚ Dataset Structure
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+
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+ The dataset is organized as follows:
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+ dlcv_final/
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+ β”œβ”€β”€ gt_layers/
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+ β”‚ β”œβ”€β”€ sample_0000/
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+ β”‚ β”‚ β”œβ”€β”€ layer_0.png
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+ β”‚ β”‚ β”œβ”€β”€ layer_1.png
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+ β”‚ β”‚ └── ...
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+ β”‚ β”œβ”€β”€ sample_0001/
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+ β”‚ β”œβ”€β”€ sample_0002/
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+ β”‚ └── ...
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+ └── README.md
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+
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+ - Each `sample_xxxx` directory corresponds to **one data sample**
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+ - Files inside each sample directory represent **ground-truth layers**
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+ - Folder structure is preserved to simplify indexing and loading
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+
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+ ---
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+
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+ ## πŸš€ How to Use
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+
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+ You can access this dataset using the πŸ€— `datasets` library:
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ dataset = load_dataset("dereklin1205/dlcv_final")
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+