container-number-and size Computer Vision Model
How to use the container-number-and size Detection API
Try This Model
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Model type: Roboflow 3.0 Object Detection (Fast)
Dataset: container-number-and-size/1 (153 images)
Checkpoint: COCOn
Sep 6, 2023
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="container-number-and-size/1")Give your agent everything it needs
Or, Use Free Container-numberrotation and Container-sizerotation 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": "container-numberrotation, container-sizerotation"
},
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 container-number-and size Model
A description for this project has not been published yet.
Roboflow Agent
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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{ container-number-and-size_dataset,
title = { container-number-and size Dataset },
type = { Open Source Dataset },
author = { Bennitto Wills },
howpublished = { \url{ https://universe.roboflow.com/bennitto-wills/container-number-and-size } },
url = { https://universe.roboflow.com/bennitto-wills/container-number-and-size },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { sep },
note = { visited on 2026-07-29 },
}










