Visualize your dataset using DINOv2 embedding

• fastdup

  18 1,412 9.4 Python

  fastdup is a powerful free tool designed to rapidly extract valuable insights from your image & video datasets. Assisting you to increase your dataset images & labels quality and reduce your data operations costs at an unparalleled scale.

  

Visualizing your dataset (especially large ones) in a low-dimensional embedding space can tell you a lot about the patterns and clusters in your dataset.

We recently release a notebook showing how you can visualize your dataset using DINOv2 models by running it on your CPU.

Yes! No GPUs needed.

We used it to find clusters of similar images, duplicates, and outliers in a subset of the LAION dataset

Try it on your own dataset:

Colab notebook - https://colab.research.google.com/github/visual-layer/fastdup/blob/main/examples/dinov2_notebook.ipynb

GitHub repo - https://github.com/visual-layer/fastdup

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

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