vest Computer Vision Project

traffic cone

Updated 5 months ago

94

views

0

downloads
Classes (26)
* Auto-orientation of pixel data (with EXIF-orientation stripping)
* Resize to 640x640 (Stretch)
* annotate, and create datasets
* collaborate with your team on computer vision projects
* collect & organize images
* export, train, and deploy computer vision models
* understand and search unstructured image data
* use active learning to improve your dataset over time
19
20
21
22
23
24
25
==============================
For state of the art Computer Vision training notebooks you can use with this dataset,
No image augmentation techniques were applied.
Roboflow is an end-to-end computer vision platform that helps you
The dataset includes 2143 images.
The following pre-processing was applied to each image:
This dataset was exported via roboflow.com on March 14, 2024 at 8:19 AM GMT
To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
VEST - v1 2024-01-16 2:34pm
VEST are annotated in YOLO v5 PyTorch format.
visit https://github.com/roboflow/notebooks

A description for this project has not been published yet.

Supervision

Build Computer Vision Applications Faster with Supervision

Visualize and process your model results with our reusable computer vision tools.

Cite This Project

LICENSE
Public Domain

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

                        @misc{
                            vest-teciz_dataset,
                            title = { vest Dataset },
                            type = { Open Source Dataset },
                            author = { traffic cone },
                            howpublished = { \url{ https://universe.roboflow.com/traffic-cone-8c5sf/vest-teciz } },
                            url = { https://universe.roboflow.com/traffic-cone-8c5sf/vest-teciz },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { jul },
                            note = { visited on 2024-12-22 },
                            }
                        
                    

Similar Projects

See More
2.1k images 1 model
2.1k images