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New Starfield Fauna dataset released with 20,000 images

A new dataset, Starfield Fauna, has been released, containing 20,000 images categorized into 50 species from the video game Starfield. The images were extracted from video capture, with a focus on close-up, centered shots to aid in species discernment. The dataset aims to provide a balanced representation across different biomes and includes normalization for training, validation, and test sets. AI

IMPACT Provides a new, specialized dataset for training image classification models, particularly for species identification.

RANK_REASON The cluster describes a new dataset release for machine learning research. [lever_c_demoted from research: ic=1 ai=1.0]

Read on r/MachineLearning →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New Starfield Fauna dataset released with 20,000 images

COVERAGE [1]

  1. r/MachineLearning TIER_1 English(EN) · /u/eccLykta ·

    Dataset: Starfield Fauna - 20,000 images in 50 species categories. [P]

    <table> <tr><td> <a href="https://www.reddit.com/r/MachineLearning/comments/1vp9q5v/dataset_starfield_fauna_20000_images_in_50/"> <img alt="Dataset: Starfield Fauna - 20,000 images in 50 species categories. [P]" src="https://preview.redd.it/xg0grozpwkjh1.png?width=640&amp;crop=sm…