Con-Mat Computer Vision Project
Test
Updated a year ago
18
views1
downloadTags
Classes (43)
* Auto-orientation of pixel data (with EXIF-orientation stripping)
* Random rotation of between -45 and +45 degrees
* Resize to 640x640 (Stretch)
* annotate, and create datasets
* 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
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
==============================
Brick-Concrete-Rebar-Wood are annotated in YOLOv8 format.
For state of the art Computer Vision training notebooks you can use with this dataset,
The dataset includes 4186 images.
The following augmentation was applied to create 3 versions of each source image:
The following pre-processing was applied to each image:
This dataset was exported via roboflow.com on November 17, 2023 at 8:24 PM GMT
To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
construction_waste - v1 2023-11-17 12:21am
object visit https://github.com/roboflow/notebooks
Metrics
Try This Model
Drop an image or
A description for this project has not been published yet.
Use This Trained Model
Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.
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{
con-mat_dataset,
title = { Con-Mat Dataset },
type = { Open Source Dataset },
author = { Test },
howpublished = { \url{ https://universe.roboflow.com/test-dqbmi/con-mat } },
url = { https://universe.roboflow.com/test-dqbmi/con-mat },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { nov },
note = { visited on 2025-01-09 },
}