The dataset consists of images of SMD-type electronic components, which are moving on a conveyor belt. Want to see how the data works or share ML insights with a like-minded community of developers? Data released monthly or annually. Hill-Valley: This is NOT a manufacturing dataset, but looks good for testing pattern detection methods. Radio Frequency Measurements for Selected Manufacturing and Industrial Environments using a PN Code Sounding methodology. Clicking the link will take you to the data description page. One could use this dataset to, for example, build a classifier of workers that are abiding safety code within a workplace versus those that may not be.
Exposure: Between -10% and +10% Most of the industrial data should be open by default. Records the impedance as the damage criterion. This particular dataset would be very well suited for Roboflow's new advanced Bounding Box Only Augmentations.
The negative class consists of trucks with failures for components not related to the APS. A live stream of industrial data, continuously available and free of charge. Developers reduce 50% of their code when using Roboflow's workflow, automate annotation quality assurance, save training time, and increase model reproducibility. Store this key safely, we will never show it again. 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. 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. 
This dataset was created by exporting images from images.cv and labeling them as an object detection dataset.
Preprocessing: Auto-Orient, all classes remapped (Modify Classes) to "pill". In three of the five houses (houses 1, 2 and 5) we also record the whole-house voltage and current at 16 kHz. Combined Cycle Power Plant: Combined Cycle Power Plant over 6 years. Outputs per training example: 3
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model. This work proposes a low-cost system with an embedded microcomputer to detect surface-mount components on a conveyor belt in real time.
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.
The system detects moving, packed, and unpacked surface-mount components. The original dataset (v1) is composed of 451 images of various pills that are present on a large variety of surfaces and objects. Roboflow makes managing, preprocessing, augmenting, and versioning datasets for computer vision seamless. Didn't find what you're looking for? 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.
2022 Roboflow, Inc. All rights reserved. This dataset enables you to analyzethe status of bills received during the last month. UK DALE dataset : This dataset records the power demand from five houses. Vinos: http://www.lolamorawine.com.ar/vinos.html, Regalos Empresariales: http://www.lolamorawine.com.ar/regalos-empresariales.html, Delicatesen: http://www.lolamorawine.com.ar/delicatesen.html, Finca "El Dtil": http://www.lolamorawine.com.ar/finca.html, Historia de "Lola Mora": http://www.lolamorawine.com.ar/historia.html, Galera de Fotos: http://www.lolamorawine.com.ar/seccion-galerias.html, Sitiorealizado por estrategics.com(C) 2009, http://www.lolamorawine.com.ar/vinos.html, http://www.lolamorawine.com.ar/regalos-empresariales.html, http://www.lolamorawine.com.ar/delicatesen.html, http://www.lolamorawine.com.ar/finca.html, http://www.lolamorawine.com.ar/historia.html, http://www.lolamorawine.com.ar/seccion-galerias.html. Where data sharing is the norm rather than the exception. The dataset was collected using Nvidia Data Capture Control. It forms the source data for the Manufacturing Workbook. This project is about injecting real, live data into the realm of innovation and invention. Four types of electronic components used for the dataset. The systems performance with different algorithm implementations was compared using mean average precision and inference time.
C-MAPSS: Engine degradation simulation.
To edit the dataset, see Defining a Dataset. Figure 3. Suggest a dataset here. Noise: Up to 2% of pixels PHM Data Challenge 17: predict faulty regimes of operation of a train car using the data provided and physics-based modeling methods. The dataset is provided by Mohamed Sabek, a Spring 2022 Master of Science graduate from Arizona State University in Construction Management and Technology. Experiments on Li-ion batteries: Charging and discharging at different temperatures. 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. Removing the obstacle of data gathering for students, startups & researchers. Eco(Electricity Consumption & Occupancy) : The ECO data set is a comprehensive data set for non-intrusive load monitoring and occupancy detection research. PHM08: Challenge on this dataset.
APS System Failures: The datasets' positive class consists of component failures for a specific component of the APS system. Are you ready to test an API or algorithm? Then stepping back to see what happens, to be surprised. 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. This dataset detects various kinds of waste, labeling with a class that indentifies how it should be disposed. The findings suggest that the system with the implemented YOLOv4-tiny algorithm on the Jetson Nano 4 GB microcomputer achieves a mean average precision score of 88.03% with an inference time of 56.4 ms and 87.98% mean average precision with 11.2 ms inference time on the Tesla P100 16 GB platform. This Manufacturing dataset combines fields from the Manufacturing Transaction record type and one custom formula.
Federal datasets are subject to the U.S. Federal Government.
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.
Open source manufacturing computer vision datasets, pre-trained models, and APIs. Imagine the speed of technological advancement in a world where hundreds or thousands of industrial companies share live data this way. Detecting and counting small moving objects on the assembly line is a challenge. Brightness: Between -10% and +10% Preprocessing: Auto-Orient, Resize (Stretch to 416x416), all classes remapped (Modify Classes) to "pill", Augmentations:
The Isolate Objects preprocessing step was added to convert this object detection project into a suitable format for export in OpenAI's CLIP annotation format so that it could be used as a classifcation model (classification dataset available here. The presented research addresses the real-time object detection problem with small and moving objects, specifically the surface-mount component on a conveyor.
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. 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).
No description, website, or topics provided. Show us what you find. The dataset contains 421 raw images (v1 - raw-images) and labeled classes include: This dataset was curated and annotated by Mohamed Attia.
CNC Mill Tool Wear: Machining data was collected from a CNC machine for variations of tool condition, feed rate, and clamping pressure. REDD: A Public Data Set for Energy Disaggregation Research. Hue: Between -25 and +25 A list of awesome-public-datasets found in the industry and their descriptions are shown below. The Isolate Objects preprocessing step was added to convert the original object detection project into a suitable format for export in OpenAI's CLIP annotation format so that it could be used as a classifcation model in this project. The Hard Hat dataset is an object detection dataset of workers in workplace settings that require a hard hat.
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. There are no Dataset Type that match this search, National Institute of Standards 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. Removing the obstacle of data gathering for students, startups & researchers. Talk to us about how your data can help fuel industrial innovation. Appliance Energy: Experimental data used to create regression models of appliances energy use in a low energy building. The results of four different surface-mount components showed average precision scores of 97.3% and 97.7% for capacitor and resistor detection.
The Open Industrial Data Project could easily become the most referenced public data set in academic publications. An improved model can be utilized for use cases that'll detect the classes above in order to minimize exposure to hazards that cause serious workplace injuries.
The following fields are included in the dataset. Primary Zoning by lot Based on PLUTO 2005. We're looking for new data streams to contribute to the project.
The data and its description will be updated periodically.
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. And the most utilized public data set in tech startups innovating on machine learning. WM-811K(LSWMD): Wafer fault detection & classification data. 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. Free, straightforward access to a continuous live stream of real data is a groundbreaking opportunity for academic researchers and startups alike. A live stream of industrial data, continuously available and free of charge. Data-driven prediction of battery cycle life before capacity degradation. GREEND : GREEND is an energy dataset containing power measurements collected from multiple households in Austria and Italy.
You signed in with another tab or window. It provides detailed energy profiles on a per device basis with a sampling rate of 1 Hz. The Manufacturing dataset combines fields from one record type, one custom formula, and multiple criteria filters. 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). Saturation: Between -10% and +10% Cutout: 5 boxes with 5% size each, Trained from the COCO Checkpoint in Public Models ("transfer learning") on Roboflow. The systems performance was experimentally investigated by implementing several object-detection algorithms. (a) capacitor, (b) resistor, (c) diode, (d) transistor. Recorre nuestra galera de productos.Cuando encuentres un producto de tu preferenciaclickea en "Aadir"! 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. The Open Industrial Data project is a crucial first step toward a more open and collaborative industry. Were excited to see what's possible. SECOM: Semiconductor manufacturing process data. PHM Data Challenge 18: Etching tool fault detection (PdM). The dataset is available under the Public License. Openness should be the new standard. The following custom formula is included in the dataset: cost/unit - CASE WHEN {quantity} > 0 THEN TO_NUMBER({transaction^transaction.transactionlines.foreignAmount})/{quantity} END.
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). You can also access this registry using the API (see API Docs). 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. Shear: 5 Horizontal, 5 Vertical
90 Rotate: Clockwise, Counter-Clockwise, Upside Down 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. It is also a good general dataset for practice. Naval Propulsion Plants characterized by a COmbined Diesel eLectric And Gas (CODLAG) propulsion plant type. Consumption & Efficiency Data and Statistics, Global Value Chain and Manufacturing Analysis on Geothermal Power Plant Turbines, U.S. Heat Demand by Sector for Potential Application of Direct Use Geothermal, NYSTAR Regional Technology Development Centers Economic Impacts: Beginning 2009, Foreign Trade Zones Manufacturing (T/IM) Database, Radio Frequency Measurements for Selected Manufacturing and Industrial Environments, Linear Axis Testbed - Rail Degradation Experiment 01, Degradation Measurement of Robot Arm Position Accuracy, NIST Inorganic Crystal Structure Database (ICSD). Take it and learn with it. 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%. This database allows the public to browse and search recent FTZ Board manufacturing approvals.
Annotations also include examples of just "person" and "head," for when an individual may be present without a hard hart.
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