Electronics Object Image Dataset | Computer Parts

Object Detection

Electronics Object Image Dataset | Computer Parts Computer Vision Project

ferds2

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Description

Electronics Object Image Dataset | Computer Parts

Daily electronic items images like Earphones, Chargers, Mouse, etc.

About Dataset

This dataset is collected by DataCluster Labs, India. To download full dataset or to submit a request for your new data collection needs, please drop a mail to: sales@datacluster.ai

This dataset is an extremely challenging set of over 5000+ original Electronic Items images captured and crowdsourced from over 1000+ urban and rural areas, where each image is manually reviewed and verified by computer vision professionals at Datacluster Labs.

Dataset Features

  1. Dataset size : 5000+
  2. Captured by : Over 1000+ crowdsource contributors
  3. Resolution : 99% images HD and above (1920x1080 and above)
  4. Location : Captured with 800+ cities accross India
  5. Diversity : Various lighting conditions like day, night, varied distances, view points etc.
  6. Device used : Captured using mobile phones in 2020-2021
  7. Applications : Electronics Detection, Daily item detection, Home Automation, etc.

Available Annotation formats COCO, YOLO, PASCAL-VOC, Tf-Record

The images in this dataset are exclusively owned by Data Cluster Labs and were not downloaded from the internet. To access a larger portion of the training dataset for research and commercial purposes, a license can be purchased.

Contact us at sales@datacluster.ai Visit www.datacluster.ai to know more.

Supervision

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Cite This Project

LICENSE
CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            electronics-object-image-dataset-computer-parts-n9725_dataset,
                            title = { Electronics Object Image Dataset | Computer Parts Dataset },
                            type = { Open Source Dataset },
                            author = { ferds2 },
                            howpublished = { \url{ https://universe.roboflow.com/ferds2/electronics-object-image-dataset-computer-parts-n9725 } },
                            url = { https://universe.roboflow.com/ferds2/electronics-object-image-dataset-computer-parts-n9725 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { oct },
                            note = { visited on 2024-12-25 },
                            }