from groundlight import Groundlight
gl = Groundlight()
det = gl.get_or_create_detector(
name="doorway",
query="Is the doorway open?"
)
img = "./docs/static/img/doorway.jpg" # Image can be a file or a Python object
image_query = gl.submit_image_query(
detector=det,
image=img
)
print(f"The answer is {image_query.result}")Train and Deploy CV Models Automatically
Integrate computer vision into your business applications without needing to be a computer vision expert.
No dataset required
Integrated real-time labeling builds your dataset for you while it's running
Always the best model for your problem
Automatically trains and compares state-of-the-art models, selecting the most accurate
Adapts to your real environment
As many models as you want, customized to each location or situation.
Get Started with Groundlight's Computer Vision Tools
Easily Integrate into Your System
Build custom solutions on Groundlight, and build it your way with the tools you prefer.
Python SDK
With only a few lines of code, you can have custom computer vision inside your application.
API
API to let you access your models in the cloud - no need to run your own models or hardware.
Fast Edge Inference
We offer specialized hardware for local inference. Reduce latency, cost, network bandwidth, and energy.
Model Performance Metrics
Know exactly how your ML model is performing, in real-time. Easy-to-use dashboards give you the confidence to make any needed changes.
Clarity in how your data is labeled
Label images on your own or let cloud labelers do it for you. Training happens quickly and automatically.
Overview of ML accuracy
Groundlight generates customized inspection reports and statistics for performance analysis and traceability.
Set up alerts
Text message or email alerts to notify you of changes.
Install Groundlight
pip install Groundlight
