ufba-425 Computer Vision Dataset
About ufba-425 Dataset
Introduced by Budagam et al. in Instance Segmentation and Teeth Classification in Panoramic X-rays We introduce a set of 425 panoramic X-rays with Human annotated Bounding Boxes and Polygons, the 425 images are a subset of UFBA-UESC Dental Dataset. This dataset can be extensively used for detection and segmentation tasks for Dental Panoramic X-rays. Refer to Description for understanding the organisation of annotations and panoramic X-rays. The dataset contains distribution of panoramic X-rays across ten different categories.
Use Free 11, 12 and 13 Detection API
Powered by general detection model
Code
pip install inference-sdk# 1. Import the library
from inference_sdk import InferenceHTTPClient
# 2. Connect to your workspace
client = InferenceHTTPClient(
api_url="https://serverless.roboflow.com",
api_key="API_KEY"
)
# 3. Run your workflow on an image
result = client.run_workflow(
workspace_name="<YOUR_WORKSPACE>",
workflow_id="<YOUR_WORKFLOW_ID>",
images={
"image": "YOUR_IMAGE.jpg" # Path to your image file
},
parameters={
"classes": "11, 12, 13, 14, 15"
},
use_cache=True # cache workflow definition for 15 minutes
)
# 4. Get your results
print(result)Run on custom image
Drop an image here or click to upload
Detecting classes:
Or try a test image
Roboflow Agent
Tell the agent what you want to build.
Cite This Project
LicenseMITIf you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{ ufba-425-mdsod_dataset,
title = { ufba-425 Dataset },
type = { Open Source Dataset },
author = { weed },
howpublished = { \url{ https://universe.roboflow.com/weed-zzy18/ufba-425-mdsod } },
url = { https://universe.roboflow.com/weed-zzy18/ufba-425-mdsod },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2025 },
month = { aug },
note = { visited on 2026-07-29 },
}










