datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Segformer_Unet_Simplified_Tmux4Segformer_Unet_Simplified_FinalUnet_Simplified_10_PhasesSelfReg-UNet13803867589-unet-image-seg
刺绣图像分割数据集
用于 U-Net 语义分割的刺绣图像数据集。
使用方法
from datasets import load_dataset
# 加载完整数据集 (835张)
ds = load_dataset("tari-tech/13803867589-unet-image-seg", data_dir="full")
# 加载去除AI图的数据集 (763张)
ds = load_dataset("tari-tech/13803867589-unet-image-seg", data_dir="no-ai")
# 加载 SAM3 重新标注的数据集 (563张)
ds = load_dataset("tari-tech/13803867589-unet-image-seg", data_dir="sam3")
# 加载 SAM3 标注后人工过滤的数据集 (425张)
ds = load_dataset("tari-tech/13803867589-unet-image-seg", data_dir="sam3-label")… See the full description on the dataset page: https://huggingface.co/datasets/tari-tech/13803867589-unet-image-seg.unet-explainer-dataTest_Images_Overtrained_TE_vs_UnetUnetDestructionCivilWar
Dataset Card for "UnetDestructionCivilWar"
More Information needed
unet_generated_flowers
Dataset Card for generated_flowers
This is a FiftyOne dataset with 150 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = load_from_hub("philippkolbe/unet_generated_flowers")
# Launch the App
session = fo.launch_app(dataset)
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/philippkolbe/unet_generated_flowers.u_net_imagesU-net-Cancer-Datasetimage2GPS_project_dataset_grouped_unethicalMes_Poumons_3D_unetcityscapes-unet-dlops26-major-examARAS-C-UNetGANunet-ensemble-datasetu_net_concrete