Universe

FYP Computer Vision Model

byWen Yang LimTask:
Object Detection
License:CC BY 4.0439 views13 downloads

How to use the FYP Detection API

Try This Model

Drop an image here or click to upload

Or try a test image 

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="fyp-lbrhe/4")
Give your agent everything it needs

Or, Use Free Letters and Letters (front) 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": "Letters, Letters (front)"
  },
  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 
See all 323 images FYP Letters sample showing Letters (front) FYP Letters sample showing Letters FYP Letters sample showing Letters (front) FYP Letters sample showing Letters (front) FYP Letters sample showing Letters (front) FYP Letters sample showing Letters FYP Letters sample showing Letters (front) FYP Letters sample showing Letters (front) FYP Letters sample showing Letters (front) FYP Letters sample showing Letters (front) FYP Letters sample showing Letters (front) FYP Letters sample showing Letters (front)

About FYP Model

A dataset and fine-tuned model for recognizing identifiers on container trucks. Combine with an OCR (optical character recognition) package to ID vehicles passing a checkpoint via a security camera feed or traffic cam.

The project includes several exported versions, and a fine-tuned model that can be used in the cloud or on an edge device.

Cite This Project

LicenseCC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{ fyp-lbrhe_dataset,
  title = {  FYP Dataset },
  type = { Open Source Dataset },
  author = { Wen Yang Lim },
  howpublished = { \url{ https://universe.roboflow.com/wen-yang-lim/fyp-lbrhe } },
  url = { https://universe.roboflow.com/wen-yang-lim/fyp-lbrhe },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2022 },
  month = { oct },
  note = { visited on 2026-07-29 },
}

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