Universe

Mobil Computer Vision Dataset

byMobil DatasetTask:
Object Detection
License:MIT329 views16 downloads
See all 9k imagesMobil Mobil sample showing Suzuki_IgnisMobil Mobil sample showing Toyota_InnovaMobil Mobil sample showing Honda_CivicMobil Mobil sampleMobil Mobil sample showing Datsun_GoMobil Mobil sample showing Suzuki_SwiftMobil Mobil sample showing Daihatsu_TeriosMobil Mobil sample showing Daihatsu_Grand MaxMobil Mobil sample showing Honda_BrioMobil Mobil sample showing Suzuki_IgnisMobil Mobil sample showing Honda_HRVMobil Mobil sample showing Honda_City

About Mobil Dataset

Here are a few use cases for this project:

  1. Traffic Surveillance: The "Mobil" model can be used by traffic surveillance systems to detect vehicle types, identify specific car models on the road or monitor the frequency of a particular make/model in specific areas for transportation studies.

  2. Dealership Inventory Management: Car dealerships can use it to organise or count their inventory of vehicles. By simply scanning images of their stockyard, they can get counts on how many and what type of vehicles they have in real-time.

  3. Insurance: Insurance companies can apply the computer vision model to assess the type and model of cars for which they are providing policies. This can also help in determining the value of a car insurance policy based on the model of the car.

  4. Automotive Market Research: Market research agencies can use the "Mobil" model to gather data on the popularity or prevalence of different car models in different regions. This could be useful in understanding consumer behavior and market trends.

  5. Smart Parking Solutions: The model can be utilized in smart parking solutions. It can help in classifying the cars in parking lots or garages for better management, fast retrieval, or for providing user-specific data like availability of spots for a particular car model, etc.

Use Free Daihatsu_Grand Max, Daihatsu_Rocky and Daihatsu_Sigra 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": "Daihatsu_Grand Max, Daihatsu_Rocky, Daihatsu_Sigra, Daihatsu_Terios, Daihatsu_Xenia"
  },
  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 

Cite This Project

LicenseMIT

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

@misc{ mobil-memdi_dataset,
  title = { Mobil Dataset },
  type = { Open Source Dataset },
  author = { Mobil Dataset },
  howpublished = { \url{ https://universe.roboflow.com/mobil-dataset/mobil-memdi } },
  url = { https://universe.roboflow.com/mobil-dataset/mobil-memdi },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2022 },
  month = { dec },
  note = { visited on 2026-07-29 },
}

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