Vehicle Color Detection Computer Vision Project
Updated a year ago
11
0
Vehicle Color Detection Dataset
Vehicle Color Detection Dataset
About Dataset
This dataset is collected by DataCluster Labs. 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 6,000+ images of Vehicle Colour Detection from multiple locations. These images are captured and crowdsourced from over 2000+ different locations, where each image is manually reviewed and verified by computer vision professionals at Datacluster Labs. It contains a wide variety of of vehicles such as trucks. cars, bikes,scooty, tempo,bus etc.
Dataset Features
- Dataset size : 6000+ images
- Captured by : Over 2000+ crowdsource contributors
- Resolution : HD and above
- Location : Captured with 2000+ locations
- Diversity : Various lighting conditions like day, night, varied distances, view points etc.
- Device used : Captured using mobile phones in 2020-2022
- Usage : Wheel Detection, Wheel Counting, Object detection
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.
Build Computer Vision Applications Faster with Supervision
Visualize and process your model results with our reusable computer vision tools.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
vehicle-color-detection-2sfuj_dataset,
title = { Vehicle Color Detection Dataset },
type = { Open Source Dataset },
author = { DataCluster Labs },
howpublished = { \url{ https://universe.roboflow.com/datacluster-labs-agryi/vehicle-color-detection-2sfuj } },
url = { https://universe.roboflow.com/datacluster-labs-agryi/vehicle-color-detection-2sfuj },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { dec },
note = { visited on 2024-11-17 },
}