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.
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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
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Roboflow: Single Label Classification | Roboflow: Multi-Label Classification
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Formats | Multi-Label Classification Format | OpenAI CLIP Classification Format
Classes:
box
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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 2024-12-22 },
}