紫斑蝶導覽 Computer Vision Model
How to use the 紫斑蝶導覽 Detection API
Try This Model
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Model type: YOLOv11 Object Detection (Fast)
Dataset: -pcbyw/7 (557 images)
Checkpoint: -pcbyw/4
Oct 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="-pcbyw/7")Give your agent everything it needs
Or, Use Free Common Lantana, Kusukusu Eupatorium and Snake Plant 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": "Common Lantana, Kusukusu Eupatorium, Snake Plant, Taiwan Cowplant"
},
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 紫斑蝶導覽 Model
紫斑蝶導覽植物辨識用的資料庫
內含四種植物:
- 高適佛澤蘭(Kusukusu Eupatorium)
- 馬櫻丹(Common Lantana)
- 羊角藤(Taiwan Cowplant)
- 虎尾蘭(Snake Plant)
後續可再加
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{ -pcbyw_dataset,
title = { 紫斑蝶導覽 Dataset },
type = { Open Source Dataset },
author = { plantRecognize },
howpublished = { \url{ https://universe.roboflow.com/plantrecognize/-pcbyw } },
url = { https://universe.roboflow.com/plantrecognize/-pcbyw },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2025 },
month = { jan },
note = { visited on 2026-07-29 },
}










