Datasets:
Tasks:
Image Segmentation
Modalities:
Image
Formats:
imagefolder
Sub-tasks:
semantic-segmentation
Size:
1K - 10K
fix readme
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dereklin1205
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README.md
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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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# DLCV Final Dataset
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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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## π Dataset Structure
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The dataset is organized as follows:
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dlcv_final/
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βββ gt_layers/
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β βββ sample_0000/
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β β βββ layer_0.png
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β β βββ layer_1.png
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β β βββ ...
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β βββ sample_0001/
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β βββ sample_0002/
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β βββ ...
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βββ README.md
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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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## π How to Use
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You can access this dataset using the π€ `datasets` library:
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```python
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from datasets import load_dataset
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dataset = load_dataset("dereklin1205/dlcv_final")
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