Roboflow: An amazing tool to build Computer Vision pipeline
From annotating the dataset to fine-tuning and deploying a model
Consider the following problem of advertisement analytics. You have a volleyball game, there are so many different logos that are being displayed. You want to know for how much time each logo was displayed on how big of a screen. This will be a very good ad analytics for the individual advertisers. How would you set this up in Roboflow?
Why Roboflow for this
You start with just the video.
Roboflow handles frames, labels, training, testing, and deployment.
YOLO integrates smoothly.
Less glue code. Faster iteration.
Start with only the video
Upload the volleyball match video.
Roboflow auto-extracts frames.
Adjust sampling inside the platform.
Get diverse images across pans, zooms, and lighting.
Create classes and annotate collaboratively
Define logo classes for each sponsor.
Draw tight bounding boxes on the visible logo area.
Invite teammates to label together.
Use review and comments to keep labels consistent.
Agree on simple rules.
Mark partial logos if at least half is visible.
Annotate readable but slightly blurry logos.
Version and auto-split
Create a dataset version.
Let Roboflow auto-split into train, validation, and test.
Reproduce experiments easily.
Add light augmentations if needed.
Small flips, rotations, brightness, and contrast.
Use Roboflow Universe when helpful
Pull a public dataset if it fits.
Start from a public model if it helps.
Train from scratch or fine-tune on pretrained weights.
All paths are available in one UI.
Train and watch metrics
Kick off training with a YOLO model size that fits your hardware.
See live graphs per epoch.
Track loss, precision, recall, and mAP.
Stop early if the curve flattens.
Rerun if the model underfits small logos.
Test on new images and videos
Run the trained model on unseen images.
Test on a fresh volleyball video.
Watch overlays in the browser or on a phone.
Note misses on certain colors or angles.
Add a few targeted frames.
Re-annotate, re-version, and fine-tune briefly.
Deploy for easy sharing
Publish a hosted demo.
Share a link or a QR code.
Let sponsors and colleagues try it instantly.
Collect feedback and refine.
Keep the loop simple
Video in.
Frames out.
Collaborative labels.
Versioned dataset.
Train.
Test.
Deploy.
Repeat with small, focused additions.You
