TrailCamHub logoTrailCamHub

Tuned to your game list

You set the region and pick the species that live there. Recognition is matched to that list, so results stay relevant.

Tuned to your game list

Recognition is sharpest when it knows what to expect. When you choose a region, TrailCamHub loads the game species that occur there — and then hands the list to you.

You stay in control

Set a default species list in Settings that applies to all your cameras, then fine-tune it for any individual camera — handy when your cameras sit in different regions or very different spots. From there you can:

  • Remove species you'll never see at your spot.
  • Add others manually if your ground is unusual.
  • Mark the ones you consider most likely.

How your list shapes results

The species you keep form an allow-list for that camera's region. When the AI analyses a photo, its result is checked against this list:

  • A recognised species that's on your list is reported as-is.
  • A result that isn't on your list is flagged for a second look rather than shown as fact — these are the cases most likely to be a mistake.
  • Species you marked as most likely act as a gentle tie-breaker when the model is unsure between similar animals.

Crucially, your list speaks the model's own language: each species is mapped to the exact label the recognition model uses internally — and the European and global models name things differently — so the matching is reliable, not approximate.

What it is not

This doesn't retrain the model on your photos. It's a relevance-and-review layer on top of recognition: it narrows the field of plausible answers and surfaces the doubtful ones, which keeps results trustworthy without any machine-learning work on your side.

The result is fewer odd misclassifications and clear flags on the handful of detections genuinely worth your judgment.

Frequently asked questions

When you set a camera's region, TrailCamHub automatically loads the game species that occur there and hands you the list. From there you tailor it: remove species you'll never see at your spot, add any unusual ones manually, and mark the ones you consider most likely.

You can set a default list in Settings that applies to all your cameras, then fine-tune it for any individual camera — useful when your cameras sit in different regions or very different spots. That list then guides recognition: species on it are reported as-is, results that fall outside it are flagged for a second look, and the ones you marked "most likely" act as a tie-breaker when the AI is unsure between similar animals.

Trail camera edit form to set location and camera's region:

edit_trail_camera.jpg

Yes. Your region loads a list of likely species, and you can remove ones you will never see, add others, and mark the most likely. This keeps results relevant.

Also see this article.