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Computer Vision Services

Models Tested On Real Images

Computer vision services that prove accuracy on your own images before any model goes into use, with the known misses written down and a person checking the uncertain calls.

★★★★★ 5-star rated on Google · 14 years · 300+ Las Vegas businesses

Computer Vision Services: GIOSTAR services page on a desktop, a website I built and run in Henderson

Trusted By

UFC
Caesars
Churchill Downs
Neighborly
Supercuts
City of Las Vegas
SDMI
Switch
Silverton
Panda Express
TAO
Ellie Mental Health
Dollar Loan Center
.Vegas Domains
HFC
Lithion Battery

Why Vision Models Fail On Site

Demos fail on the real images

A vision model that looks sharp in a vendor demo often misses on the images a business actually collects. The lighting is worse, the angles are wider, the camera is older and the objects are partly hidden. The demo was built from clean examples, and the site is full of exceptions.

The mistake is to judge the model on the demo. The honest test uses a set of your own images, scored against answers a competent person agrees are correct.

A storefront street in the Valley

What Computer Vision Can Read

Images, video frames and their limits

Computer vision can classify an image, such as good or defective, detect objects and their position, count items in a frame and read printed text from a document. Each of those tasks has its own accuracy number, and a result that is strong for one can be weak for another.

The limits are physical as much as technical. Low light, motion blur, glare and a camera mounted at an odd angle all lower accuracy, so the test set includes those conditions on purpose.

WebVegas homepage, a website I built

Accuracy On Your Own Images

A test set from real images

Before any model is chosen, a test set is built from images the business already captures, with each one labeled by the person who knows the answer. The set is kept apart from anything used to tune the model, so the score is an honest estimate of how it will behave on the next image.

An owner at work in a modern office
  • Images drawn from the real cameras and conditions
  • Labels written by the person who owns the outcome
  • Hard cases included on purpose: dark, blurred, partly hidden
  • A held-out set the tuning never touches
  • Scores reported per category, not as one average

Failure Cases Written Down

Known misses listed before launch

Every model has known misses, and the most useful document I hand over is the list of them. For each category it names the conditions where accuracy drops, the rate measured on the test set and the action the business takes when that condition appears. The list is updated when new misses appear in use.

GIOSTAR brand hub, a system I built

Human Review Points

A person checks the uncertain calls

A model can report how sure it is about each result. Results below an agreed confidence line go to a person, and results above it are logged and sampled each week. The line is set from the test set, so the amount of human review is a decision the owner makes with the numbers in front of them.

A business owner reviewing work on a phone
  • Low-confidence results routed to a person
  • A weekly sample of confident results checked by hand
  • Every correction logged and fed back to the test set
  • A stop rule if the sample accuracy falls
  • A named person who owns each review queue

Model Options Compared

Four routes and where each stops

RouteGood forWhere it stopsWhere the images go
Hosted vision serviceCommon tasks with standard imagesLess control over the modelTo the vendor, under the account terms
Pretrained model, tunedTasks close to a known modelNeeds a clean labeled set to tuneYour cloud account or a server you run
Custom trained modelUnusual objects or conditionsNeeds many labeled images and timeYour cloud account or a server you run
On-site deviceFast decisions with no uploadLimited compute and harder updatesStays on the device

How The Build Runs

Five steps from images to report

1. Collect the images

I gather a sample from the cameras and files the business already has, and mark the conditions each one was taken in.

2. Label and split

The person who owns the outcome labels the images, and the set is split so the tuning never sees the test images.

3. Score the routes

Each candidate route is scored on the held-out set, per category, with the failure list written next to the scores.

4. Set the review line

The confidence line and the sampling rate are agreed with the owner from the measured numbers, not picked in advance.

5. Report monthly

Accuracy, misses, corrections and review volume go to the owner each month, and the test set grows with the new cases.

Privacy And Image Rules

Images stay where the scope puts them

Images can show people, faces, plates and documents. The scope names which images are kept, where they are stored and how long they stay. Rules on recording people and on biometric data differ by place and by use, so whether a given collection is allowed is a question for your counsel, and the scope does not assume the answer.

GIOSTAR homepage, a website I built
  • Storage location named in the scope
  • Retention period set before the first image is kept
  • Faces and plates blurred where the task does not need them
  • Access limited to the named reviewers
  • No face matching unless counsel has cleared it

Closest Work I Can Show

No vision client work claimed

I have not built a computer vision model for a client that I can show you, and this page does not claim one. The nearest systems I run are text and data pipelines with a test set, a review gate and a log, which use the same measure-before-trust method.

Before I quote, I ask for a sample of your own images and score a small test set, so you see the accuracy on your material before you commit to a build.

A storefront street in the Valley

Computer Vision Portfolio

Builds I run, open to check

Every build below is real, and every link opens the live work or the brand file. I have not built a client vision model that I can show, so the cards describe the nearest systems I run.
GIOSTAR services page at giostarwellness.com, a website I built for a Henderson clinic

Website build · Henderson

GIOSTAR: the clinic website, booking and lead tracking

I built and run giostarwellness.com for a regenerative medicine and wellness clinic in Henderson: every service page, online booking, financing and a blog. A website lead is tracked end to end, from the form to a booked consult to an active patient, with no manual steps. I also built its live brand hub, so every page, post and print piece pulls the same colours, type and rules.

See the live site

Portfolio Examples

More of the work

The rest of the range, with what each one was and a link wherever the work is live.
WebVegas homepage at webvegas.io with its four-step booking form

Website build · Las Vegas

WebVegas: a Las Vegas web design brand and its booking funnel

See the live site

Desert Inn Oasis logo lockup with a palm and serif lettering

Brand mark · Event venue

Desert Inn Oasis: the refined mark and the plan for the new site

Site in build

Mili Pharma horizontal logo lockup with the butterfly mark

Brand identity · Pharma

Mili Pharma: the butterfly mark and the lockups

Site in build

Three Quotible social posts built from customer testimonials

Social content system

Quotible: a testimonial-led social series

Content system

Computer Vision Reviews

What owners wrote on Google

Every written review on my Google Business Profile, word for word, including the one that gave four stars. Nothing is picked or paraphrased, and the link above opens the same reviews on Google. Also rated five stars by Cyndee M., Angela M., Dan H.. Read them on Google
  • ★★★★★
    After going back and forth on whether to bring in outside help, we ended up working with Justin for some AI consulting on how to structure our operations. He laid out a clear plan, didn't overcomplicate it, and we've been running smoother since. Good fit for a service business. He knows Las Vegas and he knows this stuff.

    Kristen S. · Google

  • ★★★★★
    Justin joined our team a few months before opening to replace a marketing agency that wasn’t performing. He stepped up fast. Within weeks he launched a fully redesigned website with new brand guidelines, built and delivered our marketing plan and AI strategy, and helped implement our system architecture so we could open on time. Since then, he’s made several critical enhancements to the site that helped us generate revenue in our first month. His engagement was supposed to end at opening, but he became such an integral part of our leadership team that we kept him on to help evolve our marketing and tech strategy as we grow. He’s easy to work with, pushes back when it matters, and moves easily between strategy, delivery, and operations depending on what’s needed. If you’re looking for a deeply experienced, knowledgeable, and dedicated marketing, AI, or technology consultant, I highly recommend Justin Harris AI Consulting.

    Devin R. · Google

  • ★★★★★
    Justin has been a true Gem to have as part of our company. His professionalism, immediate attention to branding and extensive details in marketing has made so much improvement on our business. We are forever grateful to have such and amazing marketing asset and cannot thank you enough Justin!

    Desi W. · Google

  • ★★★★
    Justin Harris was very helpful in resolving some issues we had with our Webflow website.

    Kristy F. · Google

  • ★★★★★
    I had the pleasure of working alongside Justin and consistently saw firsthand the level of dedication and professionalism he brings to his work. He was always the first one in the office, setting the tone with his strong work ethic and commitment to excellence. What stood out most was how deeply he cared about every client. He approached each project with thoughtfulness, expertise, and a genuine drive to deliver meaningful results. He combines sharp technical knowledge with a practical, solutions-oriented mindset, which makes him especially effective in the AI space. Any organization looking for thoughtful, reliable, and highly skilled AI consulting support would be in great hands working with him!

    Jenevine Y. · Google

  • ★★★★★
    Hired him to manage our AI systems and it's been pretty smooth. He knew what needed to be done and got it handled without a lot of back and forth. Good experience for our service business.

    BC G. · Google

  • ★★★★★
    I follow Justin on social media and read about his work and his contributions to the AI industry. He really knows how to use the technology in creating a system that allows you to make your business work more efficiently and effectively.

    Ana J. · Google

  • ★★★★★
    Justin was the person I would go to for advice about AI automation for my workload. He knew the subject well and didn't overcomplicate it. For anyone in Las Vegas running a service business and wondering if AI systems are worth looking into, talking to him first is a great move!

    Yaneliz M. · Google

  • ★★★★★
    Working with Justin is always a pleasure. He is professional, trustworthy, and consistently delivers outstanding results. As a longtime Las Vegas local, he has an exceptional knowledge of the territory and truly understands the market. I highly recommend his services to anyone who is serious about growing their business!

    k C. · Google

  • ★★★★★
    From what I've seen, Justin knows the AI automation space better than most people I've come across in Las Vegas. He's the kind of person who actually understands the technical side and can explain it without making you feel lost. Good guy, good reputation.

    Afaryn F. · Google

  • ★★★★★
    I've Known Justin for a while now and he really knows his stuff when it comes to AI consulting. If people in Las Vegas were to ask me for recommendations in this space, he's the best guy for the job, hands down.

    Mickey S. · Google

  • ★★★★★
    After going back and forth on whether to bring in outside help, we reached out to Justin for some AI consulting advice on where our service business could actually use automation. He was straightforward about what made sense and what didn't. Ended up being a useful conversation. Las Vegas has no shortage of people claiming to be experts, and he's one of the few who could back it up.

    Vincent M. · Google

  • ★★★★★
    Known Justin for a few years now and the guy actually knows his stuff when it comes to AI automation. Friends in the Las Vegas service business space keep asking me who to call and I always point them his way.

    Chris M. · Google

  • ★★★★★
    Justin is one of those guys who actually knows what he's talking about and doesn't cut any corners. Will definitely be working with him again.

    David S. · Google

  • ★★★★★
    Justin knows what he's doing highly recommend using his service he will treat you right and give you tremendous value !👍

    Gregory J. · Google

  • ★★★★★
    Known Justin for a many years and the guy actually knows what he's talking about when it comes to AI and automation. Not the type to just throw buzzwords around. Based in Las Vegas and well connected in the space. …

    cindy D. · Google

  • ★★★★★
    Known Justin for a few years now. Guy knows the AI space better than most people I've come across, especially here in Las Vegas where there's no shortage of people claiming to be experts. He actually understands how AI automation works at a practical level, not just the theory. The kind of person who gives you a straight answer with kindness and patience

    Katelyn H. · Google

  • ★★★★★
    Knew Justin before he started building AI systems for businesses, and watching what he's put together is genuinely impressive. He built out an AI automation setup for my website in Las Vegas and it changed how we handle leads completely. The guy actually runs this stuff himself, so he knows what works.

    Justin E. · Google

Computer Vision Services Cost

What sets the price

I quote a fixed price for a written scope after I have seen a sample of your images. The number depends on how many categories the model must read, how many labeled images exist and whether a custom model is needed or a tuned existing one will do.

WebVegas homepage, a website I built
  • Number of categories and conditions to cover
  • Labeled images already available, and the labeling still needed
  • Route chosen: hosted, tuned, custom or on-site
  • Review queue size and who staffs it
  • Monthly accuracy report after launch

Volume Sets The Setup

How many images decide the route

The number of images per day decides whether a hosted service, a cloud deployment or an on-site device fits. Low volume with a simple question suits a hosted service. Continuous video from many cameras needs a deployment planned for speed and cost, and the scope prices that setup separately.

An owner at work in a modern office

Who Builds The Model

One builder from images to report

I am Justin Harris. I have built websites and run digital marketing for Las Vegas businesses for fourteen years, and I score every route and write the failure list myself. You talk to the person running the test, not to a handoff team.

GIOSTAR brand hub, a system I built

Related AI Services

Other AI work I build

Vision projects often feed into analytics and development work. Each card below opens its own page, and the consulting page is the place to start if the images are only part of the question.

Where Scoping Starts

One image set and one decision

The first conversation picks one decision the images must support, such as pass or hold on a line, and gathers a sample for it. One decision with one labeled set is the fastest way to learn whether a larger vision project is worth building.

A business owner reviewing work on a phone

Vision Accuracy Questions

Answers before you commit

Straight answers to what owners ask me before they hire me. If yours is not here, ask it on a call.

Data And Ownership Questions

Storage, cost and who keeps the model

Straight answers to what owners ask me before they hire me. If yours is not here, ask it on a call.

Computer Vision Next Step

A sample set before any build

Send me a sample of the images behind one decision you need to make, and I will reply with a written test plan: the labels, the routes to score, the review line and the scope. You decide before anything is built.