Graffit Mapillary V3 Computer Vision Model
How to use the Graffit Mapillary V3 Detection API
Try This Model
Drop an image here or click to upload
Or try a test image
Model type: YOLOv11 Object Detection (Fast)
Dataset: graffit-mapillary-v3/2 (4148 images)
Checkpoint: COCOn
Oct 14, 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="graffit-mapillary-v3/2")Give your agent everything it needs
Or, Use Free Graffiti, Plakate and Sticker_Collab 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": "graffiti, Plakate, Sticker_Collab, Tag"
},
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 Graffit Mapillary V3 Model
Other Version of master uni leipzig projekt. This time with random pictures
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{ graffit-mapillary-v3_dataset,
title = { Graffit Mapillary V3 Dataset },
type = { Open Source Dataset },
author = { MasterGraffiti },
howpublished = { \url{ https://universe.roboflow.com/mastergraffiti/graffit-mapillary-v3 } },
url = { https://universe.roboflow.com/mastergraffiti/graffit-mapillary-v3 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { dec },
note = { visited on 2026-07-29 },
}