ComputerVision V2 small Computer Vision Model
How to use the ComputerVision V2 small 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: computervision-v2-small/1 (1593 images)
Checkpoint: COCO
May 23, 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="computervision-v2-small/1")Give your agent everything it needs
Or, Use Free Barcode, BestBeforeDate and Brand 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": "barcode, bestBeforeDate, brand, detailedProductName, ingredientStatement"
},
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 ComputerVision V2 small Model
This is a dataset for computer vision academic project I use two previous datasets : https://gitlab.rlp.net/ISS/food-product-image-dataset/-/tree/master/data/img?ref_type=heads https://universe.roboflow.com/computer-vision-workspace/food-packaging-recognition/dataset/8
Changing somes classes to make a bigger one and add some customs images.
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{ computervision-v2-small_dataset,
title = { ComputerVision V2 small Dataset },
type = { Open Source Dataset },
author = { ComputerVision },
howpublished = { \url{ https://universe.roboflow.com/computervision-smwuh/computervision-v2-small } },
url = { https://universe.roboflow.com/computervision-smwuh/computervision-v2-small },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { jun },
note = { visited on 2026-07-29 },
}