YOLO_Zeb Computer Vision Dataset
About YOLO_Zeb Dataset
Here are a few use cases for this project:
-
Aquaculture Industry: The YOLO_Zeb model can be used in fish farming and aquaculture industries to monitor the population of zebrafish in the tank, their behaviour, and help manage the health and growth of the fish.
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Biomedical Research: Zebrafish are often used as a model organism in scientific research. The model can be employed in tracking, counting, and identifying zebrafish in a lab setup.
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Pet Trade: For pet stores and enthusiasts, the model can be used to monitor the health and activity of zebrafish in their aquariums, which can be beneficial for both pet care and trade.
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Environmental Assessment: The model could be used in studies of zebrafish in the wild, contributing to research on environmental pollution and its impact on aquatic life.
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Fish Breeding: Breeders might find the model useful for overseeing zebrafish mating behaviors, identifying the most prolific breeders, or ensuring that their fish are healthy and thriving.
Use Free B and Zebrafish Detection API
Powered by general detection model
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": "b, zebrafish"
},
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
Tell the agent what you want to build.
Cite This Project
LicenseCC BY 4.0If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{ yolo_zeb_dataset,
title = { YOLO_Zeb Dataset },
type = { Open Source Dataset },
author = { ShatZ },
howpublished = { \url{ https://universe.roboflow.com/shatz/yolo_zeb } },
url = { https://universe.roboflow.com/shatz/yolo_zeb },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { nov },
note = { visited on 2026-07-29 },
}