REDD: A Public Data Set for Energy Disaggregation Research. The dataset contains 421 raw images (v1 - raw-images) and labeled classes include: This dataset was curated and annotated by Mohamed Attia. It is also a good general dataset for practice.
Suggest a dataset here. Noise: Up to 2% of pixels A list of awesome-public-datasets found in the industry and their descriptions are shown below.
This Standard Reference Material (SRM) is in the form of chips sized between 0.50 and 1.18 mm sieve openings (35 and 16 mesh).
Primary Zoning by lot Based on PLUTO 2005. In order to meet the requirements of real-time applications, state-of-the-art electronic component detection and classification algorithms are implemented into powerful hardware systems.
The Open Industrial Data Project could easily become the most referenced public data set in academic publications. Then stepping back to see what happens, to be surprised. This particular dataset would be very well suited for Roboflow's new advanced Bounding Box Only Augmentations.
The systems performance was experimentally investigated by implementing several object-detection algorithms. SECOM: Semiconductor manufacturing process data. Preprocessing: Auto-Orient, Resize (Stretch to 416x416), all classes remapped (Modify Classes) to "pill", Augmentations: Are you ready to test an API or algorithm? Were excited to see what's possible.
Note: versions 2 and 3 (v2 and v3) contain the raw images resized at 416 by 416 (stretch to) and 640 by 640 (stretch to) without any augmentations. Combined Cycle Power Plant: Combined Cycle Power Plant over 6 years. The dataset consists of images of SMD-type electronic components, which are moving on a conveyor belt. The negative class consists of trucks with failures for components not related to the APS.
APS System Failures: The datasets' positive class consists of component failures for a specific component of the APS system.
You signed in with another tab or window.
Records the impedance as the damage criterion.
This dataset contains information about hundreds of designated user-facilities and R&D equipment funded by the U.S. Department of Energy and accessible to the Industrial Development Bonds (IDB) are available to manufacturing projects, exempt facilities and nonprofit organizations to provide access to capital primarily for Data and statistics on energy consumption in homes, commercial buildings, manufacturing, and transportation. Outputs per training example: 3
Shear: 5 Horizontal, 5 Vertical
There are no Dataset Type that match this search, National Institute of Standards and Technology . Data released monthly or annually. Removing the obstacle of data gathering for students, startups & researchers.
The original dataset (v1) is composed of 451 images of various pills that are present on a large variety of surfaces and objects.
The results of four different surface-mount components showed average precision scores of 97.3% and 97.7% for capacitor and resistor detection.
This dataset enables you to analyzethe status of bills received during the last month.
Figure 3.
The data and its description will be updated periodically. Didn't find what you're looking for?
Eco(Electricity Consumption & Occupancy) : The ECO data set is a comprehensive data set for non-intrusive load monitoring and occupancy detection research. REDD: A Public Data Set for Energy Disaggregation Research: A freely available data set containing detailed power usage information from several homes, which is aimed at furthering research on energy disaggregation (the task of determining the component appliance contributions from an aggregated electricity signal).
Most of the industrial data should be open by default.
Open source manufacturing computer vision datasets, pre-trained models, and APIs. No description, website, or topics provided. Explore the potential of Industrial Data Platform, See how advanced visualizations unlock the value of data, Get involved in the project by sharing your own data sets, Use live industrial data to enrich your research, Evaluate state-of-the-art models and algorithms on real, reliable live data, Test your algorithms and applications on real industrial data, Develop new products and services using data previously out of reach, Discover what live industrial data looks like and experiment with visualizations, Use this data to develop your own algorithms. The presented research addresses the real-time object detection problem with small and moving objects, specifically the surface-mount component on a conveyor.
90 Rotate: Clockwise, Counter-Clockwise, Upside Down
PHM Data Challenge 17: predict faulty regimes of operation of a train car using the data provided and physics-based modeling methods.
The dataset was collected using Nvidia Data Capture Control.
This Manufacturing dataset combines fields from the Manufacturing Transaction record type and one custom formula.
The dataset is provided by Mohamed Sabek, a Spring 2022 Master of Science graduate from Arizona State University in Construction Management and Technology. This project is trying to create an efficient computer or machine vision model to detect different kinds of construction equipment in construction sites and we are starting with three classes which are excavators, trucks, and wheel loaders.
Use the fork button to copy this dataset to your own Roboflow account and export it with new preprocessing settings (perhaps resized for your model's desired format or converted to grayscale), or additional augmentations to make your model generalize better.
Hill-Valley: This is NOT a manufacturing dataset, but looks good for testing pattern detection methods.
Want to see how the data works or share ML insights with a like-minded community of developers? PHM Data Challenge 18: Etching tool fault detection (PdM). A live stream of industrial data, continuously available and free of charge. And the most utilized public data set in tech startups innovating on machine learning. The dataset is available under the Public License.
It is intended for use primarily in SRM 693 Iron Ore (Nimba) - Standard Reference Material 693 Iron Ore (Nimba) is material in the form of powder (<0.1 mm) for use in checking chemical methods of SRM 692 iron Ore (Labrador) is intended primarily for use in checking chemical methods of analysis and in calibration with instrumental methods of analysis.
2022 Roboflow, Inc. All rights reserved.
Removing the obstacle of data gathering for students, startups & researchers.
To edit the dataset, see Defining a Dataset. This dataset detects various kinds of waste, labeling with a class that indentifies how it should be disposed.
Clicking the link will take you to the data description page.
Talk to us about how your data can help fuel industrial innovation.
This database allows the public to browse and search recent FTZ Board manufacturing approvals.
Roboflow makes managing, preprocessing, augmenting, and versioning datasets for computer vision seamless. The following criteria is used to filer the dataset: Transaction Type any of Assembly Build, Work Order Close, JavaScript must be enabled to correctly display this content. Take it and learn with it. In this study, a rail of a linear axis testbed was intentionally degraded to various levels, affecting the carriage motion, which can be deduced with either an SRM 1297 Stainless Steel (SAE 201) - 'This Standard Reference Material (SRM) is intended for use in optical emission and x-ray spectrometric methods of analysis.
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. Appliance Energy: Experimental data used to create regression models of appliances energy use in a low energy building.
In three of the five houses (houses 1, 2 and 5) we also record the whole-house voltage and current at 16 kHz.
Detecting and counting small moving objects on the assembly line is a challenge.
This is an object detection dataset that contains the classes below: This model can be potentially used to detect the objects above in an effort to sort them in a recycling center or an Automated River Cleaning System that uses computer vision. Brightness: Between -10% and +10% BLUED dataset : The dataset consists of voltage and current measurements for a single-family residence in the United States, sampled at 12 kHz for a whole week. The system detects moving, packed, and unpacked surface-mount components. This work proposes a low-cost system with an embedded microcomputer to detect surface-mount components on a conveyor belt in real time. Experiments on Li-ion batteries: Charging and discharging at different temperatures. Naval Propulsion Plants characterized by a COmbined Diesel eLectric And Gas (CODLAG) propulsion plant type. This project is about injecting real, live data into the realm of innovation and invention.
The Hard Hat dataset is an object detection dataset of workers in workplace settings that require a hard hat. UK DALE dataset : This dataset records the power demand from five houses. There are four types of components in the collected dataset: Department of Electronic Systems, Vilnius Gediminas Technical University (VILNIUS TECH), 03227 Vilnius, Lithuania; vgtu@vgtu.lt.
This dataset was created by exporting images from images.cv and labeling them as an object detection dataset.
Exposure: Between -10% and +10% The dataset contains both the robot's high-level tool center position (TCP) health data and controller-level components' information (i.e., joint positions, Materials discovery and development necessarily begins with the preparation and identification of product phase(s). C-MAPSS: Engine degradation simulation.
This dataset is a collection of images that contains annotations for the classes below: Most of these classes are underrepresented and would need to be balanced for better detection. https://universe.roboflow.com/mohamed-attia-e2mor/pill-classification, convert the original object detection project, A System for a Real-Time Electronic Component Detection and Classification on a Conveyor Belt, 1,080 annotated examples of "wheel loader", Preprocessing: Auto-Orient and Resize (Stretch to 416x416), Training Metrics: Trained from the COCO Checkpoint in Public Models (", mAP = 91.4%, precision = 61.1%, recall = 93.9%, Training Metrics: Trained from "scratch" (no transfer learning employed) on Roboflow, mAP = 84.3%, precision = 53.2%, recall = 86.7%.
In each house we record both the whole-house mains power demand every six seconds as well as power demand from individual appliances every six seconds. It forms the source data for the Manufacturing Workbook.
The Manufacturing dataset combines fields from one record type, one custom formula, and multiple criteria filters.
Preprocessing: Auto-Orient, all classes remapped (Modify Classes) to "pill".
PHM08: Challenge on this dataset.
Show us what you find. Radio Frequency Measurements for Selected Manufacturing and Industrial Environments using a PN Code Sounding methodology. The Open Industrial Data project is a crucial first step toward a more open and collaborative industry.
The following custom formula is included in the dataset: cost/unit - CASE WHEN {quantity} > 0 THEN TO_NUMBER({transaction^transaction.transactionlines.foreignAmount})/{quantity} END.
- Shein Bathroom Accessories
- Bridesmaid Gown Design 2021
- Cottage Furniture Maine
- Melissa And Doug Food Truck Cardboard
- Clear Bags For Stadiums Walmart
- Modern Coastal Lighting
