Neovision
Observatoire des modèles de vision par ordinateur

Computer Vision Models Observatory

Make the strategic choice to analyze your images with AI

Deploy your AI

NEURAL NETWORKS

The one and only family of technologies capable of recognizing complex patterns in pixels.

~0,000
Open-source vision models on Hugging Face in 2025
~0
New vision models released open-source every week on Hugging Face

Consequence

Running a truly relevant and exhaustive benchmark takes time… unless you equip and industrialize the comparison.

Neovision's Observatory identifies the best-performing models for your context

What the Observatory does

  • Compares in record time: we go from several weeks to just a few hours to compare two models on the same use case.
  • Expands possibilities: structured testing of a representative panel of relevant models for your context.
  • Measures decisive indicators: tailored metrics (accuracy, recall, F1, latency, memory footprint, inference cost…), on your data.
  • Reproducibility: protocols, test sets, configurations and results are documented and reproducible.

Direct benefits

  • Decision faster and better supported.
  • Reduced risk before R&D investment or deployment.
  • Solid foundation for industrialization (quality, performance, cost).

Computer vision is what I need

Explore your computer vision use cases

Classification

Assign a label to an image (or multi-labels). #Quality-Control #Sorting #Automation #Advanced-Search

Detection

Identify and visually locate objects with precise bounding boxes. #Counting #Picking #Inspection

Segmentation

Accurately delimit areas of interest pixel by pixel. #Fine-Measurement #Structural-Monitoring #Identification

Reading (OCR)

Read text in the physical environment using computer vision. #Digitization #Traceability

The expertise that makes the difference

Technological monitoring & insight

Our engineers quickly spot key models as soon as they are released, but also know how to look for more marginal options if they better fit your context.

Use-case driven selection

The latest or most reputed model (SOTA) is not necessarily the one that will best serve your goals: we identify the one that maximizes your performance in your context: business constraints, hardware, data volume, latency, confidentiality.

Data: stack the odds in your favor

We help you prepare and clean your data (representative samples, annotations, balancing, formats) for reliable testing.

Why choosing the observatory?

Start with a solid technological foundation by maximizing the sustainability and efficiency of your solution.

Audit the existing system: evaluate and challenge an already existing solution (if the code is available), identify improvement.

Let's schedule a meeting to discuss your data, your constraints, and choose the right vision.