mlsanityData to 7 Oct 2026

Mars Image Content Classification: Three Years of NASA Deployment and Recent Advances

arXiv 2102.05011 ↗First posted 9 Feb 2021cs.LG cs.CV eess.IVcited by 10

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Abstract (arXiv)

The NASA Planetary Data System hosts millions of images acquired from the planet Mars. To help users quickly find images of interest, we have developed and deployed content-based classification and search capabilities for Mars orbital and surface images. The deployed systems are publicly accessible using the PDS Image Atlas. We describe the process of training, evaluating, calibrating, and deploying updates to two CNN classifiers for images collected by Mars missions. We also report on three years of deployment including usage statistics, lessons learned, and plans for the future.

Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). Builds on 3 of its 25 references that are in the map. First posted on arXiv 9 Feb 2021.

Builds on

3 of 25 references.

References · 3

  1. 2017On Calibration of Modern Neural Networkscited by 4,860
  2. 2018Detecting and Correcting for Label Shift with Black Box Predictorscited by 364
  3. 2014Caffe: Convolutional Architecture for Fast Feature Embeddingcited by 287

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 5; 2023: 1; 2024: 1; 2025: 1; 2026: 2.

10 papers.