object_detection Computer Vision Project

IC

Updated a year ago

Fork Project

4

views

0

downloads
Classes (29)
* 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
26
27
28
==============================
For state of the art Computer Vision training notebooks you can use with this dataset,
No image augmentation techniques were applied.
Product2 are annotated in YOLO v5 PyTorch format.
Roboflow is an end-to-end computer vision platform that helps you
The dataset includes 375 images.
The following pre-processing was applied to each image:
This dataset was exported via roboflow.com on January 25, 2024 at 8:13 AM GMT
To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
data2 - v1 2024-01-25 10:13am
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
CC BY 4.0

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

                        @misc{
                            object_detection-cfpgh_dataset,
                            title = { object_detection Dataset },
                            type = { Open Source Dataset },
                            author = { IC },
                            howpublished = { \url{ https://universe.roboflow.com/ic-s6ssx/object_detection-cfpgh } },
                            url = { https://universe.roboflow.com/ic-s6ssx/object_detection-cfpgh },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { feb },
                            note = { visited on 2025-01-07 },
                            }