Feedi Model Validation Dataset Computer Vision Dataset
About Feedi Model Validation Dataset Dataset
This is a custom testing dataset to to validate already trained models against it. Intended use:
- download in preferred format
- post-process the annotation (use https://gitlab.com/rmeissn/object-detection-dataset-post-processing ):
- remove classes and boxes the model won't predict
- transform classes (like 'square' to 'rectangle') in case the model won't predict more specific ones
- transform classes ids (like old '3' to new '1') in case the model numbers these differently
- predict with your model of choice
- validate with e.g. https://github.com/RyunosukeIchiyasu/object_detection_evaluation_app
In addition to new images, (selected) images from these other projects were used:
- https://universe.roboflow.com/jwala-vaishnavi-zcmf5/shp-arrw-p3 (CC BY 4.0, validation images)
Use Free Text, Circle and Triangle 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": "text, circle, triangle, square, line"
},
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
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{ feedi-model-validation-dataset_dataset,
title = { Feedi Model Validation Dataset Dataset },
type = { Open Source Dataset },
author = { rmeissner },
howpublished = { \url{ https://universe.roboflow.com/rmeissner/feedi-model-validation-dataset } },
url = { https://universe.roboflow.com/rmeissner/feedi-model-validation-dataset },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2025 },
month = { aug },
note = { visited on 2026-07-29 },
}