Machine Learning Model Validation Service

Make your AI project a success with ML Model Validation techniques which check, validate, and rectify errors to fine-tune data sets thoroughly, ensuring model predictions are foolproof, and outputs are error-free.

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ML Model Validation

Machine Learning Model Validation

It is imperative to evaluate the accuracy of the predictive ML model, without any biasedness or negligence before utilizing them to ensure final results or outputs are 100% accurate.

Resubstitution

Resubstitution

Resubstitution errors occur when every piece of data is used for training, and the error rate is based on the outcome vs. the actual value.

Holdout

Data is split into two datasets, labeled training and esting, to avoid resubstitution errors.

Holdout
Leave-One-Out Cross-Validation

Leave-One-Out Cross-Validation

In this technique, all data except one record is used for training, and one is used for testing. This process is repeated multiple times. The model’s error rate is calculated as an average of the error rates of each iteration.

Random Subsampling

Multiple data sets are randomly selected from the dataset and combined to form a test dataset. The remaining data is the training dataset. An error rate is the average of each iteration’s error rate.

Random Subsampling
Bootstrapping

Bootstrapping

This technique randomly selects training datasets and replaces them. Testing is done with the remaining examples that weren’t selected for training. The value might change from the fold to fold, unlike K-fold cross-validation. The model error rate is the average of each iteration’s error rate.

Industries We Serve

You can rely on Cogito to enjoy high-end AI-assisted Data Labeling services to test and ensure the ML model is entirely accurate.

Validate Pre-trained ML Models (Robotics)

Validate Pre-trained ML Models (Robotics)

ML model validation services correct unnoticed or involuntarily caused errors to establish memory enabling advanced accuracy in model predictions.

Analyze Overlooked Objects (E-Commerce)

Analyze Overlooked Objects (E-Commerce)

The prediction ML Model can only commit mistakes if sufficient and valid training data is used to train ML algorithms. Thus, checking missing or ignored objects in images is imperative to receive accurate output.

Authenticating Facial Annotations (Security & Surveillance)

Authenticating Facial Annotations (Security & Surveillance)

Real human faces are compared with models minutely, and every inaccuracy is corrected to obtain the highest accuracy level, ensuring error-free image and video annotation.

Outsource To Us

With Cogito as your preferred AI Training data partner, enjoy highly refined video annotations tailored to meet specific industry needs.

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Quality on a Promise

Our team comprises experienced professionals who are deeply committed to provide well-refined video annotation services.

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Uncompromised Data Security

Data security and maintaining our client’s confidentiality is our foremost priority. We ensure no data breach occurs at any point in the annotation process.

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Scalable with Quick Turnaround Time

Cogito comprises all required resources and infrastructure to offer unparalleled video annotation services keeping timeliness and quality intact.

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Flexible Pricing

Our prices can be customized as per the specific services our clients wish to avail. We offer flexible pricing and a pay-as-you-avail pricing model.

Get Us On Board

Let us take the responsibility to contribute the best data annotation services for your computer vision-based models and AI algorithms.

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