MedicineBoxes Computer Vision Project
YOLOv11 to detect medicine
Updated 18 days ago
0
views0
downloadsClasses (41)
aferin
aljil
apodonorm5mg
apodorm5mg
apranax
arveles
aspirin
betasalic
box buprefarm5ug_hour
dikloron
dolcontin10mg
dolcontin5mg
dolorex
fentanyl50ug_ml
hametanKrem
hametanMerhem
ibucoldC
imovane7-5mg
levopidon25mg
majezik
majezikmajezik
metadon_hydrochlorid40mg
metpamid
midazolam5mg_ml
morfin10mg
nexium
nobligan_retard200mg
oxycontin10mg
oxycontin15mg
oxycontin5mg
oxynorm10mg
parol
silverdin
sobril25mg
terbisil
travazol
ultiva5mg
unisom
valium5mg
xanor2mg
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{
medicineboxes-higub_dataset,
title = { MedicineBoxes Dataset },
type = { Open Source Dataset },
author = { YOLOv11 to detect medicine },
howpublished = { \url{ https://universe.roboflow.com/yolov11-to-detect-medicine/medicineboxes-higub } },
url = { https://universe.roboflow.com/yolov11-to-detect-medicine/medicineboxes-higub },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2025 },
month = { jan },
note = { visited on 2025-01-24 },
}