Indoor scene recognition is a challenging open problem in high level vision. Most scene recognition models that work well for outdoor scenes perform poorly in the indoor domain. The main difficulty is…
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15620 instances - 3 features - 67 classes - 0 missing values
Indoor scene recognition is a challenging open problem in high level vision. Most scene recognition models that work well for outdoor scenes perform poorly in the indoor domain. The main difficulty is…
9 runs0 likes0 downloads0 reach0 impact
15620 instances - 3 features - 67 classes - 0 missing values
The original MNIST image dataset of handwritten digits is a popular benchmark for image-based machine learning methods but researchers have renewed efforts to update it and develop drop-in…
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34627 instances - 785 features - 0 classes - 0 missing values