Underwater Object detection Computer Vision Model

byROBOFLOWTask:
Object Detection
License:CC BY 4.0

How to use the Underwater Object detection Detection API

Try This Model

Drop an image here or click to upload

Or try a test image 

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="underwater-object-detection-vc4j5/1")
Give your agent everything it needs

Or, Use Free Fish, Shark and Starfish 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": "fish, shark, starfish, jellyfish, penguin"
  },
  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 

About Underwater Object detection Model

This dataset consists of 638 images from two aquariums in the United States after training the dataset.

Cite This Project

LicenseCC BY 4.0

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

@misc{ underwater-object-detection-vc4j5_dataset,
  title = { Underwater Object detection  Dataset },
  type = { Open Source Dataset },
  author = { ROBOFLOW },
  howpublished = { \url{ https://universe.roboflow.com/roboflow-t9nal/underwater-object-detection-vc4j5 } },
  url = { https://universe.roboflow.com/roboflow-t9nal/underwater-object-detection-vc4j5 },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2024 },
  month = { nov },
  note = { visited on 2026-07-29 },
}

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