Fish_Tail_demo Computer Vision Model

byHCMRTask:
Object Detection
License:MIT2 views

About Fish_Tail_demo Model

Here are a few use cases for this project:

  1. Aquaculture Health Monitoring: Employing the "Fish_Tail" model in aquaculture farms to monitor and maintain the health of the fish. The model could quickly identify any anomalies in fish tails, suggestive of potential diseases or poor conditions, which could otherwise affect the quality of the yield.

  2. Environmental Impact Study: Researchers could use the model to study the physical impact of environmental changes or pollution on fish populations by analyzing their tails for any signs of degeneration, supporting broader ecological assessments and environmental preservation efforts.

  3. Commercial Fishing Quality Control: In the commercial fishing industry, the model could be an efficient way to assess the quality and health of the catch. It would help in confirming whether the fish will meet regulatory standards or customer expectations in terms of their health and well-being.

  4. Wildlife Conservation: The model could be used to track, document, and create an effective database about specific fish species based on the characteristics of their tails. This data might be handy in studying population dynamics and in wildlife conservation efforts.

  5. Educational Resource: An intriguing application of the "Fish_Tail" model might be as an educational tool used by schools, colleges, or marine biology programs to help students recognize and learn more about different types of fish based on their tail morphologies.

Use Free Good and Bad 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": "Good, Bad"
  },
  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

LicenseMIT

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

@misc{ fish_tail_demo_dataset,
  title = { Fish_Tail_demo Dataset },
  type = { Open Source Dataset },
  author = { HCMR },
  howpublished = { \url{ https://universe.roboflow.com/hcmr/fish_tail_demo } },
  url = { https://universe.roboflow.com/hcmr/fish_tail_demo },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2025 },
  month = { may },
  note = { visited on 2026-07-29 },
}

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