Universe

Akhziv_a_edited Computer Vision Model

byElena BogdanovaTask:
Object Detection
License:CC BY 4.032 views2 downloads

How to use the Akhziv_a_edited Detection API

Try This Model

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Code Snippets

from inference_sdk import InferenceHTTPClient

CLIENT = InferenceHTTPClient(
    api_url="https://serverless.roboflow.com",
    api_key="API_KEY"
)

result = CLIENT.infer("YOUR_IMAGE.jpg", model_id="akhziv_a_edited/4")
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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": "Chromis chromis, Coris julis, Diplodus cervinus, Diplodus Sargus, Diplodus vulgaris"
  },
  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 
See all 505 images Akhziv_a_edited Animals sample Akhziv_a_edited Animals sample Akhziv_a_edited Animals sample showing Diplodus Sargus, Micteroperca rubra, Siganus luridus Akhziv_a_edited Animals sample Akhziv_a_edited Animals sample Akhziv_a_edited Animals sample Akhziv_a_edited Animals sample Akhziv_a_edited Animals sample showing Diplodus Sargus, Oblada melanura, Siganus luridus Akhziv_a_edited Animals sample Akhziv_a_edited Animals sample Akhziv_a_edited Animals sample showing Diplodus Sargus Akhziv_a_edited Animals sample showing Diplodus Sargus, Epinephelus marginatus, Siganus luridus

About Akhziv_a_edited Model

Here are a few use cases for this project:

  1. Biodiversity Monitoring: Environmental agencies and researchers can use the Akhziv_a_edited model to monitor the distribution, population size, and diversity of fish species in a specific area, assisting with the study of the ecosystem and its health.

  2. Aquarium Management: Aquariums and fish breeding centers can use this model to identify and catalog different fish species, aiding in the proper care, feeding, and living arrangements for each fish type to ensure a thriving environment.

  3. Marine Conservation Efforts: The model can be employed by marine conservation organizations to detect and track the presence of endangered or invasive fish species in protected marine areas, supporting conservation efforts and targeted interventions.

  4. Recreational Fishing: Hobbyists and professional anglers can use the Akhziv_a_edited model to identify fish species caught during their fishing trips, helping them adhere to fishing regulations and increase their knowledge about the local marine life.

  5. Educational Applications: The model can be integrated into educational apps or tools, enabling students, marine life enthusiasts, or divers to learn about various fish species in a hands-on and engaging manner while exploring the underwater world.

Cite This Project

LicenseCC BY 4.0

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

@misc{ akhziv_a_edited_dataset,
  title = {  Akhziv_a_edited Dataset },
  type = { Open Source Dataset },
  author = { Elena Bogdanova },
  howpublished = { \url{ https://universe.roboflow.com/elena-bogdanova/akhziv_a_edited } },
  url = { https://universe.roboflow.com/elena-bogdanova/akhziv_a_edited },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2023 },
  month = { jan },
  note = { visited on 2026-07-29 },
}

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