Infoscribe.ai Blog

Data annotation services : Image Classification

By: Mathieu G.
2023-07-25
Data annotation services : Image Classification

In the realm of computer vision, image classification plays a pivotal role as an annotation service, enabling artificial intelligence algorithms to discern and categorize visual data accurately.
The roots of image classification can be traced back to the 1960s when researchers at MIT began experimenting with pattern recognition algorithms to classify handwritten digits. Notably, the development of convolutional neural networks (CNNs) in the 1980s paved the way for significant advancements in image classification.

Advantages of Image Classification:

Image classification offers a plethora of advantages, such as automating data labeling, improving object recognition in images, and enhancing the overall efficiency of computer vision systems. By training AI models on labeled datasets, image classification enables them to generalize patterns and make intelligent predictions.

Drawbacks and Challenges:

Despite its effectiveness, image classification comes with its set of challenges. One primary concern is the need for large labeled datasets, which can be time-consuming and resource-intensive to create. Additionally, the accuracy of image classification models heavily depends on the quality and diversity of the training data.

Industries Embracing Image Classification:

Various industries have harnessed the potential of image classification to revolutionize their operations. Healthcare leverages this technology for medical image analysis and disease diagnosis. E-commerce giants employ image classification to recommend personalized products to customers, while automotive companies implement it for autonomous driving applications.

Real-World Applications:

Prominent real-world applications include Google's image search, where image classification enables accurate search results based on visual content. Facebook utilizes image classification to identify and tag people in photos automatically. Additionally, NASA leverages this technology to classify and analyze vast amounts of satellite imagery.

In conclusion, image classification has come a long way since its inception, powering cutting-edge applications across various industries. While it presents challenges, its versatility and impact on computer vision are undeniable. As technology advances and datasets grow, the future of image classification remains promising, continually reshaping how we perceive and interact with visual data.

Discover the potential of image classification with InfoScribe's comprehensive annotation services : https://infoscribe.ai/en/

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Delivering accurate and consistent image annotation services

At Infoscribe, we understand that annotating images requires a great deal of time and utmost precision. Our primary goal is to ensure the highest level of quality to achieve 100% customer satisfaction.

To achieve this goal, we have implemented a rigorous training program for our annotators. Before being assigned to a project, each annotator is trained on best practices and is given test data to ensure a thorough understanding of the project and all possible scenarios. This allows us to deliver accurate and consistent results to our clients.

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Ensuring strict quality control: our process at infoscribe

At Infoscribe, we prioritize quality control to ensure accurate and consistent results for our clients. Here's how we do it:

1
Quality control
Before launching a project, we conduct a 100% quality control to analyze and address any frequent errors caused by misinterpretations or misunderstandings of instructions.
2
QC Reports
Our QC team creates a report for each quality control performed, listing and illustrating non-conformities detected with screenshots.
3
Corrections
Project managers use these QC reports to explain errors to annotators so they can make corrections.
4
Improvement
We also use whiteboards to communicate common errors and encourage continuous improvement of our quality.
5
Sampling inspection
Once the compliance rate is high and stable after a few weeks, we perform sampling inspection based on the ISO2859 standard (2000 version).
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Project management



Our project managers, who are in direct contact with our customers, comply with a detailed checklist designed to prevent mistakes and they report on a daily or weekly basis depending on the needs our customers expressed at the beginning of a project.