Boxes on a Conveyer Belt Computer Vision Project
Updated 2 years ago
Metrics
Use Cases:
This dataset can be used to track boxes on an assembly or manufacturing line, or as a starter-dataset for package detection and "defect" detection use cases for boxes.
-
For the defect detection use case, one can Clone the images from this project to a new one, and add more examples (labels) of boxes with defects, such as:
damaged corners,unsealed boxes, and more. This defect detection model can be built as a single object-detection model, or broken into a "two pass detection" model (identify the box and the defects with object detection --> send the cropped detections of the defects to a classification model to confirm the classification of the defect, and the severity) -
Converting an Object Detection Dataset to Classification with Isolate Objects
-
Roboflow: Single Label Classification | Roboflow: Multi-Label Classification
-
Formats | Multi-Label Classification Format | OpenAI CLIP Classification Format
Classes:
box
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
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
boxes-on-a-conveyer-belt_dataset,
title = { Boxes on a Conveyer Belt Dataset },
type = { Open Source Dataset },
author = { Mohamed Traore },
howpublished = { \url{ https://universe.roboflow.com/mohamed-traore-2ekkp/boxes-on-a-conveyer-belt } },
url = { https://universe.roboflow.com/mohamed-traore-2ekkp/boxes-on-a-conveyer-belt },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { nov },
note = { visited on 2024-11-21 },
}