Universe

balls Computer Vision Dataset

byEVCTask:
Object Detection
557 views14 downloads
See all 2.3k imagesballs balls sample showing blue_ballballs balls sample showing green_ball, orange_ball, orange_goal, red_ball, red_goalballs balls sample showing blue_goal, green_ball, red_ball, red_goalballs balls sample showing green_goalballs balls sample showing green_goal, orange_ball, orange_goal, red_goalballs balls sample showing blue_goal, green_ball, green_goal, orange_goal, red_goalballs balls sample showing blue_ball, blue_goal, green_ball, orange_goal, red_ballballs balls sample showing blue_ball, green_ball, orange_ballballs balls sample showing blue_goal, green_ball, red_ball, red_goalballs balls sample showing green_goal, orange_goalballs balls sample showing green_goal, orange_goal, red_goalballs balls sample showing blue_ball, blue_goal, green_ball, orange_goal, red_ball

About balls Dataset

Here are a few use cases for this project:

  1. Sports Analytics: The "balls" computer vision model can be used to track and analyze different ball colors and types in various sports such as soccer, basketball, or handball, allowing coaches to design better strategies and monitor player performance more closely.

  2. Robotics and Automation: By integrating the model into robotics systems, it can be used to improve ball handling and interaction in tasks related to sorting, packaging, or recycling items based on color and ball type.

  3. Virtual Training and Simulation: The model can be integrated into virtual reality games or sports simulations to enhance the realism of the environment and improve the overall gaming/simulation experience for users.

  4. Children's Toy Recognition: The "balls" model can be used in parenting and educational apps to help recognize and catalog different types of balls in a child's play space, offering personalized suggestions and activities based on the available toys and goals.

  5. Ball-based Art Creations: By detecting different types of balls and their corresponding goals, the model can assist artists in creating imaginative installations, sculptures, or designs that use the various ball colors and shapes as fundamental elements.

Use Free Blue_ball, Blue_goal and Green_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": "blue_ball, blue_goal, green_ball, green_goal, orange_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 

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{ balls-rrzaj_dataset,
  title = { balls Dataset },
  type = { Open Source Dataset },
  author = { EVC },
  howpublished = { \url{ https://universe.roboflow.com/evc/balls-rrzaj } },
  url = { https://universe.roboflow.com/evc/balls-rrzaj },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2021 },
  month = { jul },
  note = { visited on 2026-07-29 },
}

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