Here are a few use cases for this project:

1. Automated Industrial Quality Control: Companies involved in manufacturing mechanical parts could use this model to automate their quality control process. The model could identify each part in real-time and determine if the right component is being used, check for defects, or confirm assembly accuracy.

2. Tool Inventory Management: The "Mechanical Parts" model could be used in hardware stores or workshops for efficient tool inventory management. By scanning an area with a camera, the system could instantly itemize all available parts, categorizing them into nuts, bolts, gears, bearings, etc.

3. Mechanical Failure Diagnostics: This model could be used by mechanics to diagnose mechanical failures in equipment or engines. By identifying individual parts through images, it could help point out any damaged parts like a worn out gear or defective bearing.

4. Augmented Reality (AR) Applications: The model could be used in AR applications to help students or novice mechanics learn about machinery. As they scan different parts with their mobile device, the app could identify each component and provide educational information.

5. Recycling Center Sorting: The model could be applied in recycling centers to sort and categorize mechanical parts. This could help efficiently separate reusable components and streamline the recycling process.

This dataset contains 2674 intermittent monthly time series that represent car parts sales from January 1998 to March 2002. It was extracted from R expsmooth package.

The original dataset contains missing values and they have been replaced by zeros.

Parts

## Overview

Parts is a dataset for object detection tasks - it contains Black annotations for 233 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Hanging Parts

## Overview

Hanging Parts is a dataset for object detection tasks - it contains Hanging Parts annotations for 247 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Dataset Card for Dataset Name

This dataset card aims to be a base template for new datasets. It has been generated using this raw template.

  Dataset Details







  Dataset Description

Curated by: [More Information Needed] Funded by [optional]: [More Information Needed] Shared by [optional]: [More Information Needed] Language(s) (NLP): [More Information Needed] License: [More Information Needed]

  Dataset Sources [optional]… See the full description on the dataset page: https://huggingface.co/datasets/Nldf/Computer-parts.

This dataset is about books. It has 1 row and is filtered where the book is English 2 : dictionary work, parts of the body, writing practice. It features 7 columns including author, publication date, language, and book publisher.

This dataset is a set of additional annotations for PASCAL VOC 2010. It goes beyond the original PASCAL object detection task by providing segmentation masks for each body part of the object. For categories that do not have a consistent set of parts (e.g., boat), we provide the silhouette annotation. Statistics Since the dataset is an annotation of the PASCAL VOC 2010, it has the same statistics as those of the original dataset. Training and validation contains 10,103 images while testing contains 9,637 images. Usage Considerations We provide segmentation masks for detailed body parts. One can merge several parts to get appropriate object part granularity for different tasks. For instance, "eyes", "ears", "nose", etc. can be merged into a single "head" part. Citation Detect What You Can: Detecting and Representing Objects using Holistic Models and Body Parts Xianjie Chen, Roozbeh Mottaghi, Xiaobai Liu, Sanja Fidler, Raquel Urtasun, Alan Yuille IE

Truck Parts

## Overview

Truck Parts is a dataset for object detection tasks - it contains Cars annotations for 476 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Occupational accident statistics, relationship between types of accidents and injured body parts by manufacturing sector (annual) data

Exports of Autos and Parts in the United States increased to 13726 USD Million in February from 12723 USD Million in January of 2024. This dataset includes a chart with historical data for the United States Exports of Autos And Parts.

The Government Instruction of 3 June 2015 on the mapping and identification of rivers and their maintenance, states that in order to better understand the parts of the water system that are to be considered as watercourses, the services will draw up comprehensive mappings.

This mapping is a non-opposable knowledge tool that can be updated. The entire department is covered by a progressive mapping with a first determination of rivers. Unchartted or “undetermined” flows must be the subject of a request for an expert opinion prior to the DDT “Water Police Office” prior to any intervention using the online forms.

Please note: inconsistencies may exist at departmental boundaries. Consistency work is being carried out.

Rivers are identified according to the case-law of the Council of State of 21/10/2011: ‘constitutes a watercourse, a flow of running water into a natural bed originally fed by a source and having a sufficient flow of much of the year’.

This ranking will evolve over time on the basis of the expertise requested from the DDT by the project promoters. This layer includes all the knowledge on flows in the department of Côte-d’Or.

Updates are made once a year for the upcoming crop campaign.

The link includes both our OPDSynth and OPDReal dataset. For OPDSynth, we select objects with openable parts from an existing dataset of articulated 3D models PartNet-Mobility. For OPDReal, we reconstruct 3D polygonal meshes for articulated objects in real indoor environments and annotate their parts and articulation information.

MPDD is a dataset aimed at benchmarking visual defect detection methods in industrial metal parts manufacturing. It consists of more than 1000 images with pixel-precise defect annotation masks. The dataset is divided into the training subset with anomaly-free samples and the validation subset that contains both normal and anomalous samples. The dataset can be downloaded at the following link.

Person General Parts 2

## Overview

Person General Parts 2 is a dataset for instance segmentation tasks - it contains Drawn Person QpvD JMuZ annotations for 1,191 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Imports - Parts, Engines, Bodies & Chassis (Census Basis) in the United States increased to 16976.46 USD Million in February from 16234.39 USD Million in January of 2024. This dataset includes a chart with historical data for the United States Imports of Parts, Engines, Bodies & Chassis.

National burn probability (BP) and conditional fire intensity level (FIL) data were generated for the conterminous United States (US) using a geospatial Fire Simulation (FSim) system developed by the US Forest Service Missoula Fire Sciences Laboratory to estimate probabilistic components of wildfire risk (Finney et al. [2011]). The FSim system includes modules for weather generation, wildfire occurrence, fire growth, and fire suppression. FSim is designed to simulate the occurrence and growth of wildfires under tens of thousands of hypothetical contemporary fire seasons in order to estimate the probability of a given area (i.e., pixel) burning under current landscape conditions and fire management practices. The data presented here represent modeled BP and FIL for the conterminous US at a 270-meter grid spatial resolution. The six FILs correspond to flame-length classes as follows: FIL1 = < 2 feet (ft); FIL2 = 2 < 4 ft.; FIL3 = 4 < 6 ft.; FIL4 = 6 < 8 ft.; FIL5 = 8 < 12 ft.; FIL6 = 12+ ft. Because they indicate conditional probabilities (i.e., representing the likelihood of burning at a certain intensity level, given that a fire occurs), the FIL*_20160830 data must be used in conjunction with the BP_20160830 data for risk assessment.

Assembly information is stored as JSON files, and parts are stored as both Parasolid (requiring the Parasolid kernel) and STEP files (an open-standard which can be read by most CAD software, including the open-source OpenCascade project and related open source projects such as FreeCAD). Metadata about parts, assemblies, and mates is stored as Apache parquet files, an open format which can be read by a variety of packages including pandas. Python code is provided to look-up the originating Onshape documents.

Exports - Spacecraft, Engine & Parts (Census Basis) in the United States decreased to 1.57 USD Million in February from 1.62 USD Million in January of 2024. This dataset includes a chart with historical data for the United States Exports of Spacecraft, Engine & Parts.

According to INSPIRE transformed development plan “New_Parts” of the city of Süßen based on an XPlanung dataset in version 5.0.

포털 유럽연합 데이터 Simple download service (Atom) of the dataset: Parts of the water system that are to be considered as rivers in Côte-d’Or, as revised on 05/07/2019 to serve as a reference