f1
Models
All models matching “f1”Datasets
All datasets matching “f1”f1-analytics-datasr-home-mea_001-un-bathroom_c004_l1_f1-2026-06-09-lossless-3
SR-HOME-MEA_001-UN-BATHROOM_C004_L1_F1
High-quality synthetic render data-pack featuring a detailed residential bathroom scene, captured from Camera_04 with 100 rendered outputs and 1,200 files across 12 production-ready render passes.
This dataset is designed for computer vision, 3D perception, material analysis, segmentation, depth estimation, and synthetic data workflows. It includes beauty renders plus rich auxiliary passes such as albedo, depth, normals, UVW, material index… See the full description on the dataset page: https://huggingface.co/datasets/DaiPatrick/sr-home-mea_001-un-bathroom_c004_l1_f1-2026-06-09-lossless-3.sr-home-mea_001-un-bathroom_c004_l1_f1-2026-06-09
SR-HOME-MEA_001-UN-BATHROOM_C004_L1_F1
High-quality synthetic render data-pack featuring a detailed residential bathroom scene, captured from Camera_04 with 100 rendered outputs and 1,200 files across 12 production-ready render passes.
This dataset is designed for computer vision, 3D perception, material analysis, segmentation, depth estimation, and synthetic data workflows. It includes beauty renders plus rich auxiliary passes such as albedo, depth, normals, UVW, material index… See the full description on the dataset page: https://huggingface.co/datasets/DaiPatrick/sr-home-mea_001-un-bathroom_c004_l1_f1-2026-06-09.dataSlidesBenchimagenet-latents-invae-f16d32import os
os.environ["HF_HUB_ENABLE_HF_TRANSFER"] = "1"
from datasets import load_dataset
dataset = load_dataset("G-REPA/imagenet-latents-invae-f16d32", split="train")