Moths Computer Vision Model
How to use the Moths Detection API
Try This Model
Drop an image here or click to upload
Or try a test image
Model type: YOLOv11 Object Detection (Accurate)
Dataset: moths-yy9qp/2 (851 images)
Checkpoint: COCOs
Nov 24, 2024
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="moths-yy9qp/2")Give your agent everything it needs
Or, Use Free Cadra_cautella, Labeling-of-moth-species and Plodia_interpunctella Detection API
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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": "Cadra_cautella, Labeling-of-moth-species, Plodia_interpunctella"
},
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 Moths Model
Project to classifiy several species of stored product insect moths.
Roboflow Agent
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{ moths-yy9qp_dataset,
title = { Moths Dataset },
type = { Open Source Dataset },
author = { USDAARS },
howpublished = { \url{ https://universe.roboflow.com/usdaars-zawsg/moths-yy9qp } },
url = { https://universe.roboflow.com/usdaars-zawsg/moths-yy9qp },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { nov },
note = { visited on 2026-07-29 },
}









