Diagnostic

Is your computer vision project stuck?

Are none of your experiments moving the needle?
Do you have data challenges like multispectral images, noisy labels, or small training sets?
Are you concerned about bias or generalizability?
Or are you unclear on what your challenges really are?
Are you unsure how to analyze your data and results to identify the problem?

Sometimes data challenges are easy to decipher and handle, but other times they are more subtle.

There could be an obvious distribution change causing degraded performance. But it can also be hidden or caused by multiple factors.

Gathering a large, diverse training set may be the ideal solution but is often not feasible.

What do you do?

Perhaps you have a few techniques in your toolkit like normalization to handle the obvious changes in image color or augmentation to create extra synthetic training examples.

But have you ever taken a step back to fully understand the challenges in your data and to be sure that you’re tackling each with data- and modeling-centric techniques?

Get clear next steps to take your project to the next level

This diagnostic will help your team handle data and modeling challenges by:

Identifying sources of variation, batch effects, and domain shifts
Diagnosing other data challenges like low quality or quantity of images or labels
Analyzing your data- and model-centric approaches to each challenge
Suggesting new modeling approaches
Revealing potential weaknesses in your validation strategy

Results you can expect from this diagnostic:

Save time by targeting your most critical data challenges instead of wasting time on unsuccessful approaches
Discover challenges now before they compound later
Reduce the trial and error of model development
Get your product to market faster

Option 1: Deep Dive Diagnostic $24,000

In-depth review of your data and model approaches with a plan for continued progress

Are there some fundamental challenges holding back progress? We’ll find them.

Over the course of four to six weeks, I’ll review your goals, data, validation strategy, current results, and modeling approaches to uncover and address your challenges.

You’ll start by filling out a questionnaire with some background information about your project. We’ll dive deeper into this in our kickoff meeting, examining the desired outcomes for your project and what training and validation data is available.

I’ll continue to meet weekly with your technical team as we delve into known data challenges and reveal further ones by analyzing your results. Subsequent meetings will address validation data and metrics before looking deeper into your model architecture and training. Simultaneously, I’ll be doing a literature search to identify other known challenges and possible solutions.

Everything that I learn will be detailed in a shared Google Doc. By the end of our engagement, you’ll also have a prioritized list of tactics to advance your project.

A follow-up call two weeks after report delivery is also included to ensure that you have all the information you need to move forward.

Option 2: Course Correct Diagnostic $8,000

Clear roadblocks and move forward again quickly with one month of weekly calls

You bring the questions, and I’ll guide you through whatever challenges your project is currently stuck on.

If you already know what you’re stuck on, this is a great option as we can get straight to addressing your most pressing issues.

I’ll meet with you and your technical weekly for one month and we’ll knock out as many challenges as we can.

Option 3: Quick Fix Diagnostic $4,000

Get unstuck with three tactics to move your project forward

During a one-hour call, you’ll fill me in on the largest challenges in your project and what you’re stuck on. Give me one week to think it over, and then, during a follow-up call, I’ll have at least three suggestions to move your project forward.

Ready to get started?

Are you ready to get unstuck and on the path to a more robust and accurate model? Apply for a computer vision Diagnostic by clicking the button below.

Apply Now

Don’t just take my word for it…

Heather has accelerated the development of our machine learning projects by challenging the status quo and introducing the team to new approaches. She helped us get out of the echo chamber and brought an outside perspective with very relevant alternative approaches that would have taken a lot longer to do on our own.

-- Joe Sturonas, Ancera, VP of Systems Development

Pixel Scientia provides valuable insights for Gestalt's image analysis product development. Heather has deep understanding of digital pathology and machine learning and their application to whole slide images. Her in-depth review of the current state of the art research has enabled Gestalt to rapidly focus our machine learning efforts on approaches that are yielding value for our pathologists and their patients.

-- Brian Napora, Gestalt Diagnostics, VP of Sales & Product Management

Heather interacts closely with our team and helps enormously in guiding our efforts toward the machine learning architectures that perform best for our system. Her deep understanding of the diverse range of ML architectures and capabilities allows us focus on the data preprocessing, data augmentation, and validation techniques that produce the most robust results given our unique data and challenges.

-- Alan Kersey, CytoVeris, President & CEO

Still have questions?

What happens after I apply?

I’ll schedule a short call to confirm that this package is suitable for your project. Then I’ll send over a short contract. Once you submit your payment, you’ll receive an email with a link to a questionnaire. At the end of the questionnaire you’ll be able to schedule our kickoff.

Will you sign an NDA before we start?

The contract for this Diagnostic will include confidentiality and non-disclosure provisions.

We already have a great ML team. Why do we need you?"

Maybe you don’t need me. If your team is spending most of their time keeping up with the state-of-the-art and can outline a clear solution, you might not.

But if your team is spending most of their time training models, that’s where I come in. It is my job to stay at the forefront of the field, specifically at the intersection of machine learning and computer vision. Through literature reviews and observations across multiple projects, I develop best practices for applying ML to pathology and remote sensing images and tactics for adapting new advances.

You and your team know your data and specific application better than I ever will. I build upon your team’s expertise and combine it with my knowledge of the field to get you on the path to a successful ML solution.

Our project is different from other applications. Is this a problem?

No. All projects in this space are different. This is why I focus specifically on pathology and remote sensing so that I can dig into research that’s relevant to the field. I will be sure to assess the closest related publications. There may be some differences between these and your application, but it is essential for setting expectations for your project.

Still not sure if this is the right package for you?

Schedule a free Discovery Call, and I’ll help you determine if this is a good fit.