Universe

Handwritten Computer Vision Dataset

byChandan kumar kaparTask:
Object Detection
License:CC BY 4.0146 views6 downloads
See all 53 imagesHandwritten labels-for-hand-written-word sample showing HandWrittenHandwritten labels-for-hand-written-word sample showing HandWrittenHandwritten labels-for-hand-written-word sample showing HandWrittenHandwritten labels-for-hand-written-word sample showing HandWrittenHandwritten labels-for-hand-written-word sample showing HandWrittenHandwritten labels-for-hand-written-word sample showing HandWrittenHandwritten labels-for-hand-written-word sample showing HandWrittenHandwritten labels-for-hand-written-word sample showing HandWrittenHandwritten labels-for-hand-written-word sample showing HandWrittenHandwritten labels-for-hand-written-word sample showing HandWrittenHandwritten labels-for-hand-written-word sample showing HandWrittenHandwritten labels-for-hand-written-word sample showing HandWritten

About Handwritten Dataset

A description for this project has not been published yet.

Use Free Sign and HandWritten 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": "Sign, HandWritten"
  },
  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{ handwritten-86xvl_dataset,
  title = { Handwritten  Dataset },
  type = { Open Source Dataset },
  author = { Chandan kumar kapar },
  howpublished = { \url{ https://universe.roboflow.com/chandan-kumar-kapar/handwritten-86xvl } },
  url = { https://universe.roboflow.com/chandan-kumar-kapar/handwritten-86xvl },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2022 },
  month = { jun },
  note = { visited on 2026-07-29 },
}

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