YOLO training without the command line
A desktop workstation for YOLO training (in development). Configure hyperparameters visually, watch Loss and mAP in real time, manage training history and model versions, and work directly with Easy Dataset.
What it does
Each capability maps to a concrete everyday problem.
Visual hyperparameters
Set batch size, learning rate, epochs, and augmentation in the UI instead of hand-writing YAML.
Live Loss and mAP
Charts update during training so you can spot overfitting or a bad learning rate early.
History and model versions
Config, metrics, and artifacts are recorded per run, so you can compare any two runs.
Works with Easy Dataset
Reads the layout exported by Easy Dataset directly — no manual dataset sorting.
How it works in practice
Not a feature list — a walk through getting something done.
Data, config, and training in one window
The goal is to turn YOLO training from "read docs, assemble commands" into "pick a dataset, adjust a few values, press start".
Artifacts are archived per version, making hand-off to inference straightforward.
Design trade-offs
Deterministic work stays in code; judgement stays with you.
In development
Currently under development. Sign up to be notified at launch.
Consistent toolchain
Shares data and model conventions with Easy Dataset and Easy Infer Station.
What you might want to know first
When will it be available?
Still in development with no fixed date. Email us and we will let you know when it ships.
Will it cost money?
The plan matches the rest of the family: free to download and use, AI features with your own model API.
Get notified at launch
This product is still in development. Leave your email and we will let you know.