EC Birds Computer Vision Model
How to use the EC Birds Segmentation API
Try This Model
Drop an image here or click to upload
Or try a test image
Model type: YOLOv11 Instance Segmentation (Accurate)
Dataset: ec-birds-sp5cp/21 (2775 images)
Checkpoint: ec-birds-sp5cp/20
Dec 2, 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="ec-birds-sp5cp/21")Give your agent everything it needs
Or, Use Free Broken egg, Cage and Dirty egg 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": "broken egg, cage, dirty egg, good egg, live bird"
},
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 EC Birds Model
A description for this project has not been published yet.
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Cite This Project
LicenseCC BY 4.0If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{ ec-birds-sp5cp_dataset,
title = { EC Birds Dataset },
type = { Open Source Dataset },
author = { AIProject },
howpublished = { \url{ https://universe.roboflow.com/aiproject-qy4ln/ec-birds-sp5cp } },
url = { https://universe.roboflow.com/aiproject-qy4ln/ec-birds-sp5cp },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2025 },
month = { dec },
note = { visited on 2026-07-29 },
}










