Universe

nets Computer Vision Dataset

byelliotsplaygroundTask:
Object Detection
License:CC BY 4.0
See all 691 imagesnets yuwang sample showing fishing netnets yuwang sample showing fishing netnets yuwang sample showing fishing netnets yuwang samplenets yuwang sample showing fishing netnets yuwang sample showing fishing netnets yuwang sample showing fishing netnets yuwang samplenets yuwang sample showing fishing netnets yuwang samplenets yuwang sample showing fishing netnets yuwang sample

About nets Dataset

Here are a few use cases for this project:

  1. Fisheries Maintenance: The model can be beneficial for fisheries to monitor and identify different types of fishing nets, enhancing productivity by choosing the most suitable net.

  2. Marine Conservation: Use the model to identify abandoned or lost fishing nets in oceans, often referred to as 'ghost nets', which are extremely harmful to aquatic life.

  3. Sports Equipment Retail: The model can be used in the retail industry for sorting and categorizing sporting goods, particularly various types of nets used in different sports.

  4. Net Manufacturing Quality Control: Net manufacturers can use the model to inspect the quality and class of nets during production, ensuring consistent quality.

  5. Plastic Pollution Tracking: The model can support environmental research and recycling efforts by tracking plastic net waste in both urban and natural environments.

Use Free Fishing net 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": "fishing net"
  },
  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{ nets-fwwke_dataset,
  title = { nets Dataset },
  type = { Open Source Dataset },
  author = { elliotsplayground },
  howpublished = { \url{ https://universe.roboflow.com/elliotsplayground/nets-fwwke } },
  url = { https://universe.roboflow.com/elliotsplayground/nets-fwwke },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2025 },
  month = { dec },
  note = { visited on 2026-07-29 },
}

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