construction
DBCMLAB-Llama-3-instruction-constructionsafety-layertuning-GGUFConstructionSafetyQA-1.2B-V1-i1-GGUFconstruction-ppe-yolov8juungwon-Llama-3-instruction-constructionsafety-GGUFConstruction-Hazard-DetectionLlama-3-instruction-constructionsafety-layertuning-GGUFLlama-3-instruction-constructionsafety-layertuning-i1-GGUFjuungwon_-_Llama-3-instruction-constructionsafety-gguf
IndustryCorpus2_real_estate_construction
IndustryCorpus2: Real Estate & Construction
This repository contains the IndustryCorpus2: Real Estate & Construction domain subset of BAAI/IndustryCorpus2.
Refer to the parent dataset card for data construction, intended use, limitations,
and licensing details.
Citation
If you use this dataset in your work, please cite IndustryCorpus2:
@misc{shi2024industrycorpus2,
title = {IndustryCorpus2},
author = {Xiaofeng Shi and Lulu Zhao and Hua Zhou and Donglin… See the full description on the dataset page: https://huggingface.co/datasets/BAAI/IndustryCorpus2_real_estate_construction.construction-safety-gsnvb
Construction Safety Gsnvb
This dataset is part of the Roboflow 100 benchmark, a diverse collection of 100 object detection datasets spanning 7 imagery domains.
Dataset Statistics
Split
Images
Train
997
Validation
119
Test
90
Total
1,206
Classes (5)
helmet
no-helmet
no-vest
person
vest
Usage
With LibreYOLO
from libreyolo import LIBREYOLO
# Load a model
model = LIBREYOLO(model_path="libreyoloXnano.pt")
# Train on… See the full description on the dataset page: https://huggingface.co/datasets/LibreYOLO/construction-safety-gsnvb.Construction-Site-Traversability
Construction-Site Traversability → FiftyOne (Native Multimodal MCAP)
Construction-site ROS 2 recordings from an autonomous mobile robot, rewritten from ROS 2 MCAP into native multimodal MCAP episodes.
A tracked mobile robot drives closed loops through two active construction sites carrying an OAK-D RGB-D camera, a Livox 3D LiDAR, two inertial units and a u-blox GNSS receiver, with a LiDAR-inertial odometry estimate and the wheel encoders recorded alongside them. The runs… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/Construction-Site-Traversability.construction-safety-object-detection
Dataset Labels
['barricade', 'dumpster', 'excavators', 'gloves', 'hardhat', 'mask', 'no-hardhat', 'no-mask', 'no-safety vest', 'person', 'safety net', 'safety shoes', 'safety vest', 'dump truck', 'mini-van', 'truck', 'wheel loader']
Number of Images
{'train': 307, 'valid': 57, 'test': 34}
How to Use
Install datasets:
pip install datasets
Load the dataset:
from datasets import load_dataset
ds =… See the full description on the dataset page: https://huggingface.co/datasets/keremberke/construction-safety-object-detection.ConstructionSite
Dataset Card for ConstructionSite 10k
Dataset summary
The dataset consists of a total of 10,013 construction site images and their annotations. Among them, 7,009 images are assigned to the training split while 3,004 images are assigned to the test split.
If you use this dataset, we would appreciate you citing our work. See Citation information. We developed the dataset to test how well vision language models (VLMs) can understand construction site images and use their… See the full description on the dataset page: https://huggingface.co/datasets/LouisChen15/ConstructionSite.cwicr-construction-rates
CWICR — Construction Works, Items, Costs & Resources
A multilingual, machine-readable database of national construction rate books for 30 countries / language locales. Each rate is fully decomposed into its work composition and resource breakdown (labour, machinery, materials), with unit prices, hierarchical classification, and physical parameters preserved in the source language.
This dataset is the tabular source-of-truth behind the cwicr-vector-db-bgem3-v3 Qdrant snapshots. Use… See the full description on the dataset page: https://huggingface.co/datasets/DataDrivenConstruction/cwicr-construction-rates.