Datasets:
Tasks:
Image Segmentation
Modalities:
Image
Formats:
imagefolder
Sub-tasks:
semantic-segmentation
Size:
1K - 10K
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imagewidth (px) 160
3k
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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.
π Dataset Structure
The dataset is organized as follows:
dlcv_final/
βββ gt_layers/
β βββ sample_0000/
β β βββ layer_0.png
β β βββ layer_1.png
β β βββ ...
β βββ sample_0001/
β βββ sample_0002/
β βββ ...
βββ README.md
- Each
sample_xxxxdirectory corresponds to one data sample - Files inside each sample directory represent ground-truth layers
- Folder structure is preserved to simplify indexing and loading
π How to Use
You can access this dataset using the π€ datasets library:
from datasets import load_dataset
dataset = load_dataset("dereklin1205/dlcv_final")
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