volleyball_ball_object_detection_dataset Computer Vision Dataset
About volleyball_ball_object_detection_dataset Dataset
This dataset consists of volleyball court images and ball object detection annotations. Two versions have been made for this dataset, one with RGB images and the other with grayscale images. This dataset has been annotated precisely to train a yolov8x model to detect the ball in volleyball matches. This dataset is part of three datasets (the other two for volleyball players and referee object detection and volleyball court key points regression) used to train yolov8x models for my project.
Use Free Ball 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": "ball"
},
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
LicenseCC BY 4.0If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{ volleyball_ball_object_detection_dataset-3jez2_dataset,
title = { volleyball_ball_object_detection_dataset Dataset },
type = { Open Source Dataset },
author = { daniel },
howpublished = { \url{ https://universe.roboflow.com/daniel-eqnnu/volleyball_ball_object_detection_dataset-3jez2 } },
url = { https://universe.roboflow.com/daniel-eqnnu/volleyball_ball_object_detection_dataset-3jez2 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2025 },
month = { apr },
note = { visited on 2026-07-29 },
}