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metadata
task_categories:
  - image-segmentation
task_ids:
  - semantic-segmentation
pretty_name: DLCV Final Dataset
size_categories:
  - medium

DLCV Final Dataset

This dataset is used for the Deep Learning for Computer Vision (DLCV) final project.
It contains ground-truth layers organized per sample and is designed for training and evaluating computer vision models.


πŸ“‚ Dataset Structure

The dataset is organized as follows:

dlcv_final/

β”œβ”€β”€ gt_layers/

β”‚ β”œβ”€β”€ sample_0000/

β”‚ β”‚ β”œβ”€β”€ layer_0.png

β”‚ β”‚ β”œβ”€β”€ layer_1.png

β”‚ β”‚ └── ...

β”‚ β”œβ”€β”€ sample_0001/

β”‚ β”œβ”€β”€ sample_0002/

β”‚ └── ...

└── README.md

  • Each sample_xxxx directory corresponds to one data sample
  • Files inside each sample directory represent ground-truth layers
  • Folder structure is preserved to simplify indexing and loading

πŸš€ How to Use

You can access this dataset using the πŸ€— datasets library:

from datasets import load_dataset

dataset = load_dataset("dereklin1205/dlcv_final")