Universe

intern_work_5 Computer Vision Model

bywork 2Task:
Instance Segmentation
License:CC BY 4.0386 views15 downloads

How to use the intern_work_5 Segmentation 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="intern_work_5/1")
Give your agent everything it needs

Or, Use Free Major dent, Major scratch and Minor dent 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": "major dent, major scratch, minor dent, minor scratch"
  },
  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 5.6k imagesintern_work_5 dents sample showing minor dentintern_work_5 dents sampleintern_work_5 dents sampleintern_work_5 dents sample showing major scratchintern_work_5 dents sample showing major scratchintern_work_5 dents sample showing major dentintern_work_5 dents sampleintern_work_5 dents sample showing minor scratchintern_work_5 dents sampleintern_work_5 dents sample showing minor dentintern_work_5 dents sampleintern_work_5 dents sample showing major scratch, minor scratch

About intern_work_5 Model

Here are a few use cases for this project:

  1. Vehicle Damage Assessment: Companies operating car rental services or insurance sectors can use the "intern_work_5" model to identify the severity of dents or scratches on vehicles before and after they are rented out. This would save manual inspection time and ensure a fair damage tracking system.

  2. Home Appliance Quality Inspection: Manufacturers and retailers of household appliances such as dishwasher, refrigerator, or washing machine can use this model to identify any damages before shipping the products, thus improving the quality check process.

  3. Second-hand Goods Marketplace: Online platforms trading second-hand goods can use this computer vision model to identify and categorize the condition of the goods, helping buyers better understand the product's condition.

  4. Shipping/Delivery Companies: These companies can use "intern_work_5" model to scan packages before and after delivery, keeping a record of any damages incurred during transport, and ensuring accountability.

  5. Automobile Repair Services: Workshops and automobile repair services can use the model to efficiently identify and classify the damage severity on cars, enabling faster and more accurate cost estimates for repairs.

Cite This Project

LicenseCC BY 4.0

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

@misc{ intern_work_5_dataset,
  title = { intern_work_5 Dataset },
  type = { Open Source Dataset },
  author = { work 2 },
  howpublished = { \url{ https://universe.roboflow.com/work-2-epeop/intern_work_5 } },
  url = { https://universe.roboflow.com/work-2-epeop/intern_work_5 },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2023 },
  month = { aug },
  note = { visited on 2026-07-29 },
}

Similar Projects

See More