Hul-E Computer Vision Model
How to use the Hul-E Detection API
Try This Model
Drop an image here or click to upload
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="phone-1q6aw/hul-e-kjf7p-instant-2")Or, Use Free Hand_normalrotation, Hand-normalrotation and Hand-Normalrotation Detection API
Powered by general detection model
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": "Hand_normalrotation, Hand-normalrotation, Hand-Normalrotation, Hand-normalrotationtrack_idkeyframe, Hand-Normalrotationtrack_idkeyframe"
},
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
About Hul-E Model
Here are a few use cases for this project:
-
Exam Supervision: The Hul-E model could be used in a digital proctoring project to prevent students from cheating during exams. Its ability to detect suspicious rotations could be used to flag potential cheating actions like looking at hidden notes or other students' papers.
-
Professional Certification Testing: This model could be used to oversee digital testing for professional certificates like IT or language proficiency. This can help ensure the integrity of the examination process in such scenarios.
-
Security Surveillance: The model could be utilized in various security applications such as monitoring high-security areas or establishments like casinos to detect deceitful actions and prevent illegal activities.
-
Employee Monitoring: Businesses could use the model to ensure fair practices within the work environment and to maintain integrity during remote working scenarios such as online training or meetings.
-
Online Gaming and E-Sports: The model could be effective in detecting cheating actions during online multiplayer games or e-sports tournaments, reinforcing fair play in the competitive gaming industry.
Tell the agent what you want to build.
Cite This Project
LicenseCC BY 4.0If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{ hul-e-kjf7p_dataset,
title = { Hul-E Dataset },
type = { Open Source Dataset },
author = { phone },
howpublished = { \url{ https://universe.roboflow.com/phone-1q6aw/hul-e-kjf7p } },
url = { https://universe.roboflow.com/phone-1q6aw/hul-e-kjf7p },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2025 },
month = { apr },
note = { visited on 2026-07-29 },
}