Ashish video data Computer Vision Model
How to use the Ashish video data Detection API
Try This Model
Drop an image here or click to upload
Or try a test image
Model type: Roboflow 3.0 Object Detection (Fast)
Dataset: ashish-video-data/3 (235 images)
Checkpoint: ashish-video-data/1
Oct 30, 2023
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="ashish-video-data/3")Give your agent everything it needs
Or, Use Free Chatgptrotationtrack_idkeyframe, ChatMessagerotationtrack_idkeyframe and Excelrotationtrack_idkeyframe Detection API
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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": "Chatgptrotationtrack_idkeyframe, ChatMessagerotationtrack_idkeyframe, Excelrotationtrack_idkeyframe, Otherrotation, Otherrotationtrack_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
Detecting classes:
Or try a test image
About Ashish video data Model
The project aims to classify images based on the web application contained in it. As part of this project we have three main labels/categories - "Excel", "Chatgpt", "python coding platform" and remaining all as "others".
Roboflow Agent
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{ ashish-video-data_dataset,
title = { Ashish video data Dataset },
type = { Open Source Dataset },
author = { LA Course project },
howpublished = { \url{ https://universe.roboflow.com/la-course-project-jwrv1/ashish-video-data } },
url = { https://universe.roboflow.com/la-course-project-jwrv1/ashish-video-data },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { oct },
note = { visited on 2026-07-29 },
}










