Universe

Dataset Fix Computer Vision Model

byAchmad AndianTask:
Object Detection
License:Public Domain49 views2 downloads

How to use the Dataset Fix 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="dataset-fix/1")
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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": "., nener"
  },
  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 200 imagesDataset Fix nener sampleDataset Fix nener sampleDataset Fix nener sample showing nenerDataset Fix nener sampleDataset Fix nener sampleDataset Fix nener sample showing nenerDataset Fix nener sampleDataset Fix nener sampleDataset Fix nener sampleDataset Fix nener sampleDataset Fix nener sample showing nenerDataset Fix nener sample showing nener

About Dataset Fix Model

Here are a few use cases for this project:

  1. Aquaculture Monitoring: Use "Dataset Fix" to identify and monitor the growth and health of nener fish populations in fish farms, enabling farmers to optimize feeding, disease management, and overall fish welfare.

  2. Biodiversity Research: Implement "Dataset Fix" in ecological studies or biodiversity assessments to track nener fish distribution and abundance in natural habitats, contributing to a better understanding of the species and its role in the ecosystem.

  3. Fish Sorting and Grading: Utilize "Dataset Fix" in fish processing plants to automate the classification of nener fish by size, weight, or quality, streamlining the workflow and enhancing overall efficiency.

  4. Pet Industry Application: Incorporate "Dataset Fix" technology into smart aquariums or fish tank management systems to help pet owners recognize and count nener fish accurately, facilitating proper care, feeding schedules, and maintenance.

  5. Educational Tools: Implement "Dataset Fix" as an interactive learning tool in educational programs or workshops related to marine biology, ecology, or fish species identification, where nener fish can serve as a representative of a certain fish family or ecological context.

Cite This Project

LicensePublic Domain

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

@misc{ dataset-fix_dataset,
  title = { Dataset Fix Dataset },
  type = { Open Source Dataset },
  author = { Achmad Andian },
  howpublished = { \url{ https://universe.roboflow.com/achmad-andian-qvibg/dataset-fix } },
  url = { https://universe.roboflow.com/achmad-andian-qvibg/dataset-fix },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2023 },
  month = { mar },
  note = { visited on 2026-07-29 },
}

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