Universe

cold drinks Computer Vision Dataset

byMMKantis OfficeTask:
Object Detection
License:CC BY 4.0
See all 1.9k imagescold drinks drinks sample showing 7up cancold drinks drinks sample showing fanta bottelcold drinks drinks sample showing 7up bottel, coca cola bottel, coke bottel, fanta bottel, sprite bottelcold drinks drinks sample showing fanta bottelcold drinks drinks samplecold drinks drinks sample showing fanta bottel, fanta cancold drinks drinks sample showing sprite bottelcold drinks drinks sample showing mountain dew cancold drinks drinks sample showing mojo bottelcold drinks drinks samplecold drinks drinks sample showing coca cola can, coke can, fanta can, mountain dew bottel, mountain dew can, pepsi can, sprite cancold drinks drinks sample showing coca cola can, fanta can, sprite can

About cold drinks Dataset

Here are a few use cases for this project:

  1. Retail Inventory Management: The "cold drinks" computer vision model could be implemented in retail stores to automate inventory management. It could identify type and quantity of drinks on the shelves, helping automate restocking orders and manage the inventory more efficiently.

  2. Waste Management and Recycling: The model could be used by waste management facilities to automatically identify and sort various types of drink containers for the purpose of recycling.

  3. Smart Vending Machines: Vending machines could use this model to identify and authenticate the type of drink when customers return for recycling or deposit. This can promote and facilitate eco-friendly practices.

  4. Consumer Behavior Analysis: Retailers can use the model to analyze consumers' shopping carts in real-time, learning more about their preferences and buying habits. This data can lead to targeted marketing or personalized recommendations.

  5. Augmented Reality Applications: In an AR application, users could point their camera towards a drink, and the model would be able to identify the type of drink, provide information or even offer price comparisons and purchase options. This could be utilized in shopping apps, health and fitness trackers, and more.

Use Free 7up bottel, 7up can and Clemon bottel 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": "7up bottel, 7up can, clemon bottel, clemon can, coca cola bottel"
  },
  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

LicenseCC BY 4.0

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

@misc{ cold-drinks-qki32-anfml_dataset,
  title = { cold drinks Dataset },
  type = { Open Source Dataset },
  author = { MMKantis Office },
  howpublished = { \url{ https://universe.roboflow.com/mmkantis-office/cold-drinks-qki32-anfml } },
  url = { https://universe.roboflow.com/mmkantis-office/cold-drinks-qki32-anfml },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2025 },
  month = { jul },
  note = { visited on 2026-07-29 },
}

Similar Projects

See More