-
From our own experiences building high-performing visual AI systems, we know well that AI/ML specialists struggle with the challenges of curating high-quality datasets. That's why we’ve invested in tools and plugins such as the data quality plugin for FiftyOne, which helps you find problematic images in your dataset such as blurry images, too bright or too dark images, and potentially noisy images. And this deduplication plugin for FiftyOne helps you find near and exact duplicates in your dataset.
-
SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
-
From our own experiences building high-performing visual AI systems, we know well that AI/ML specialists struggle with the challenges of curating high-quality datasets. That's why we’ve invested in tools and plugins such as the data quality plugin for FiftyOne, which helps you find problematic images in your dataset such as blurry images, too bright or too dark images, and potentially noisy images. And this deduplication plugin for FiftyOne helps you find near and exact duplicates in your dataset.
-
Data quality is equally crucial in the world of generative AI, where massive datasets like LAION play a foundational role in training models such as Stable Diffusion. Because the LAION dataset is open, we can see firsthand the types of images that go into shaping these models through websites like haveibeentrained. While it includes a wide variety of visual content, it also brings to light common quality issues: near duplicates, exact duplicates, images lacking meaningful content, and all types of issues in between. These types of issues can lead to memorization, regurgitation, or generation of content which does not match the prompt. Additionally, datasets of this scale sourced from the entire internet can inadvertently include problematic material, like graphic or offensive content, which can influence the outputs of generative models. Such issues highlight the importance of rigorous data curation to ensure models not only generate diverse and creative outputs but also maintain quality and relevance.
-
GitHub Repository: Access the FiftyOne GitHub repo to dive into our open-source code, tutorials, and sample projects designed to help you incorporate FiftyOne into your own AI/ML workflows.
