Universe

lia-cv-classification2 Computer Vision Dataset

byElizandro DalastraTask:
Classification
License:CC BY 4.0117 views5 downloads
See all 285 imageslia-cv-classification2 cv sample showing phyllophaga_cuyabana, pragalia-cv-classification2 cv sample showing agrotis_ipsilon, pragalia-cv-classification2 cv sample showing phyllophaga_cuyabanalia-cv-classification2 cv sample showing praga, spodoptera_frugiperdalia-cv-classification2 cv sample showing agrotis_ipsilon, pragalia-cv-classification2 cv sample showing elasmopalpus_lignoselluslia-cv-classification2 cv sample showing agrotis_ipsilon, pragalia-cv-classification2 cv sample showing agrotis_ipsilon, pragalia-cv-classification2 cv sample showing agrotis_ipsilon, pragalia-cv-classification2 cv sample showing anticarsia_gemmatalislia-cv-classification2 cv sample showing elasmopalpus_lignosellus, pragalia-cv-classification2 cv sample showing phyllophaga_cuyabana, praga

About lia-cv-classification2 Dataset

A description for this project has not been published yet.

Use Free Agrotis_ipsilon, Anticarsia_gemmatalis and Elasmopalpus_lignosellus 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": "agrotis_ipsilon, anticarsia_gemmatalis, elasmopalpus_lignosellus, phyllophaga_cuyabana, spodoptera_frugiperda"
  },
  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

LicenseCC BY 4.0

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

@misc{ lia-cv-classification2_dataset,
  title = { lia-cv-classification2 Dataset },
  type = { Open Source Dataset },
  author = { Elizandro Dalastra },
  howpublished = { \url{ https://universe.roboflow.com/elizandro-dalastra/lia-cv-classification2 } },
  url = { https://universe.roboflow.com/elizandro-dalastra/lia-cv-classification2 },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2021 },
  month = { oct },
  note = { visited on 2026-07-29 },
}

Similar Projects

See More