Old Computer Vision Pipeline
Includes:
1. Data collection (data-centric)
2. Data Selection (data-centric)
3. Data Annotation (data-centric)
4. Model Training
5. Model Evaluation (data-centric)
6. Model Selection (data-centric)
7. Model Deployment
8. Model Monitoring (data-centric)
At least 6 out of 8 stages are datacentric (meaning that they involve data at the core) — making this pipeline predominantly data-centric.
For example, during Model Evaluation, ML teams must pinpoint the underlying reasons for a model’s failure to rectify issues before advancing to subsequent stages. Similarly, Model Selection, typically viewed as a stage centred on the model itself, is intricately linked to data, necessitating a deep comprehension of how the model performs across diverse data subsets.
New Computer Vision Pipeline:
Embraces a revolutionary shift where data collection and labelling are entirely replaced. Advocates for a data-centric approach, which has exhibited superior efficacy in building production-grade ML systems, thus elevating model performance to unprecedented accuracies.
Key Insights:
• Data-Centricity: Acknowledges the primacy of data in the ML ecosystem, underscoring its pivotal role in driving model advancements.
• Synthetic Data Integration: Proposes a paradigm shift facilitated by synthetic data, potentially revolutionizing pipeline construction by obviating the need for initial data collection, selection, and annotation.
• Cost and Time Savings: With synthetic data, substantial cost reductions amounting to approximately $100,000 and a time-saving of 3 months can be realized, streamlining the pipeline process significantly.
Conclusion:
In the journey towards deploying production-grade ML systems, it is imperative to recognize that while synthetic data may alleviate the burdens associated with initial data acquisition and preprocessing, the indispensability of data in the training, deployment, and monitoring phases remains unchanged. Data continues to reign supreme in the ever-evolving landscape of artificial intelligence and machine learning.
Explore AuraML
At AuraML, we empower you with access to our cutting-edge cloud platform, facilitating the generation of limitless pre-labelled synthetic data tailored to your unique computer vision use cases.
Reach out to us today to embark on a transformative journey towards optimizing your computer vision endeavours.
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