Universe

Small_Data_Crop_New_valid Computer Vision Dataset

bynew-workspace-nwqs2Task:
Classification
License:CC BY 4.041 views1 download
See all 46 imagesSmall_Data_Crop_New_valid Models sample showing Maruti Suzuki DzireSmall_Data_Crop_New_valid Models sample showing Maruti Suzuki ErtigaSmall_Data_Crop_New_valid Models sample showing Maruti Suzuki AltoSmall_Data_Crop_New_valid Models sample showing Maruti Suzuki BalenoSmall_Data_Crop_New_valid Models sample showing Maruti Suzuki ErtigaSmall_Data_Crop_New_valid Models sample showing Maruti Suzuki AltoSmall_Data_Crop_New_valid Models sample showing Maruti Suzuki Vitara BrezzaSmall_Data_Crop_New_valid Models sample showing Maruti Suzuki EecoSmall_Data_Crop_New_valid Models sample showing Maruti Suzuki DzireSmall_Data_Crop_New_valid Models sample showing Maruti Suzuki SwiftSmall_Data_Crop_New_valid Models sample showing Maruti Suzuki BalenoSmall_Data_Crop_New_valid Models sample showing Maruti Suzuki Eeco

About Small_Data_Crop_New_valid Dataset

A description for this project has not been published yet.

Use Free Maruti Suzuki Alto, Maruti Suzuki Baleno and Maruti Suzuki Dzire 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": "Maruti Suzuki Alto, Maruti Suzuki Baleno, Maruti Suzuki Dzire, Maruti Suzuki Eeco, Maruti Suzuki Ertiga"
  },
  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

LicenseCC BY 4.0

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

@misc{ small_data_crop_new_valid_dataset,
  title = { Small_Data_Crop_New_valid Dataset },
  type = { Open Source Dataset },
  author = { new-workspace-nwqs2 },
  howpublished = { \url{ https://universe.roboflow.com/new-workspace-nwqs2/small_data_crop_new_valid } },
  url = { https://universe.roboflow.com/new-workspace-nwqs2/small_data_crop_new_valid },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2022 },
  month = { dec },
  note = { visited on 2026-07-29 },
}

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