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An Image-based Search for L and T Dwarf Candidates in Pan-STARRS with Object Detection

  • Authors: Yuechang Liu, Meng Liu, Kai Wang, Yude Bu

Yuechang Liu et al 2026 The Astrophysical Journal Supplement Series 285 .

  • Provider: AAS Journals

Caption: Figure 2.

Sample distribution after the object-level split by spectral type. The training, validation, and test sets follow an 8:1:1 ratio. All augmented samples from the same physical object were assigned to a single subset to avoid data leakage. Images containing M dwarfs are included as nontarget contaminant samples. They are shown only to illustrate the spectral-type composition of the input data and are not treated as an independent detection class. The plotted counts represent augmented image cutouts and should not be interpreted as the intrinsic spectral-type distribution of unique Pan-STARRS sources.

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