cosmetic project Computer Vision Model
How to use the cosmetic project 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: cosmetic-project/1 (1040 images)
Checkpoint: COCO
Nov 7, 2024
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="cosmetic-project/1")Give your agent everything it needs
Or, Use Free Dr.FORHAIR Muối tẩy tế bào chết da đầu, Kem chống nắng Skin Aqua nắp vàng and Kem dưỡng REDWIN 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": "Dr.FORHAIR Muối tẩy tế bào chết da đầu, Kem chống nắng Skin Aqua nắp vàng, Kem dưỡng REDWIN, Nước cân bằng sen hậu giang Cocoon, Nước tẩy trang DRCEUTICS"
},
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 cosmetic project Model
A description for this project has not been published yet.
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Cite This Project
LicensePublic DomainIf you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{ cosmetic-project_dataset,
title = { cosmetic project Dataset },
type = { Open Source Dataset },
author = { DPL302m },
howpublished = { \url{ https://universe.roboflow.com/dpl302m-wpdue/cosmetic-project } },
url = { https://universe.roboflow.com/dpl302m-wpdue/cosmetic-project },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { nov },
note = { visited on 2026-07-29 },
}










