Hybrid Models
Combine your tabular data with images to extract powerful insights
For enterprises
Overview
With Abacus.AI you can set up state-of-the-art deep learning models that combine text, vision, and tabular data within hours. Based on your specific domain and use case, Abacus.AI can fine-tune pretrained models, apply transfer learning or simply train new vision models from scratch. No cumbersome data preparation or engineering effort to deploy the models in production is required.
- Improve model performance by overlaying structured data with vision
- Pretrained embeddings to incorporate visual inputs
- Combines with NLP to extract and use textual data from images
How It Works
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RAW DATA WITH IMAGES -
Benefits
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Simple Setup
Simply upload your images, use our built-in labelling tool to annotate them and train your models with the click of a button. No need to spend time on building models or tuning the hyperparameters, Abacus.AI automatically figures out the ideal hyperparameters that generate the best model.
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Pretrained Embeddings
Abacus.AI lets you pick a pretrained embedding to bring insights gained from a large corpus of images to your data or you could choose to train a vision embedding catered to your domain.
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Improved Accuracy
Combining structured data with images improves the accuracy of your predictive or forecasting models.
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Rich Console + Analytics
Our rich and user-friendly console provides an easy interface for you to tweak your data, build models, evaluate them and view predictions.
