Train YOLO without the Python tutorial.
Train YOLO models without touching a terminal.
A Windows app for people who want results, not a Python tutorial. Install, point at your dataset, hit Start. Live charts, smart defaults, NVIDIA-tuned.
180 MB · 3-day free trial · No credit card · Windows 10/11 · NVIDIA GPU required
WHY THIS APP EXISTS
Training a custom YOLO model means installing the right CUDA build, setting up a virtual environment, fighting torch and torchvision version mismatches, writing a YAML file by hand, then babysitting a terminal for hours.
We bundled everything that ships with friction — environment setup, defaults that actually work, live monitoring, the export step, the test mode — into a single Windows installer.
Install to first epoch in under ten minutes on a clean machine.
WHAT YOU GET
We detect your NVIDIA GPU, install the right CUDA build, create a clean Python environment. You click Next twice.
90/10 split, mixed-precision training, VRAM-capped batch sizing, patience tuned to dataset size. Override anything you want — but you won't need to.
Loss curve, mean average precision, GPU usage, ETA — all streaming in real time. Catch a bad run in three epochs instead of fifty.
Drag any image onto the result screen, see your model's predictions with bounding boxes and confidence scores. Decide if it's good before you ship it.
v8, v9, v10, v11 — detection, segmentation, pose where supported. Switch architectures from a dropdown.
PT, ONNX, and TorchScript with one click — plus a PDF training report you can hand to stakeholders.
PRICING
Every plan includes a 3-day free trial — no card required.
All sales are final — no refunds. Try the free 3-day trial first to be sure before you buy.
SYSTEM REQUIREMENTS
Training without CUDA is 50–100× slower. We don't want to sell a setup that gives bad results.
FAQ
READY?
180 MB · 3-day free trial · No credit card · No signup
180 MB · 3-day free trial · No credit card · No signup
Or join the community Discord to see what other users are training