Insect_Keypoint_v0 Computer Vision Model
How to use the Insect_Keypoint_v0 Detection API
Try This Model
Drop an image here or click to upload
Or try a test image
Model type: Roboflow RF-DETR Preview Keypoint Detection (X Large)
Dataset: insect_keypoint_v0-1jpxs/1 (34 images)
Oct 14, 2025
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="insect_keypoint_v0-1jpxs/1")Give your agent everything it needs
Or, Use Free Head, 0 and Abdomen 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": "head, 0, abdomen, thorax, wing"
},
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 Insect_Keypoint_v0 Model
A description for this project has not been published yet.
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{ insect_keypoint_v0-1jpxs_dataset,
title = { Insect_Keypoint_v0 Dataset },
type = { Open Source Dataset },
author = { CV Research },
howpublished = { \url{ https://universe.roboflow.com/cv-research-weubu/insect_keypoint_v0-1jpxs } },
url = { https://universe.roboflow.com/cv-research-weubu/insect_keypoint_v0-1jpxs },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2025 },
month = { oct },
note = { visited on 2026-07-29 },
}