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Earth on Canvas

With the advancement in sensor technology, huge amounts of data are being collected from various satellites. Hence, the task of target-based data retrieval and acquisition has become exceedingly challenging. Existing satellites essentially scan a vast overlapping region of the Earth using various sensing techniques, like multi-spectral, hyperspectral, Synthetic Aperture Radar (SAR), video, and compressed sensing, to name a few.

Categories:
Artificial Intelligence
Image Processing
Computer Vision
Machine Learning
Image Fusion
Geoscience and Remote Sensing
Remote Sensing
Geo-Sensing
385 Views

MF-150: Multilabel Malaysian Foods Dataset For Ingredient Detection

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Categories:
Artificial Intelligence
Image Processing
Computer Vision
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MF-150: Multilabel Malaysian Foods Dataset For Ingredient Detection

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Categories:
Artificial Intelligence
Image Processing
Computer Vision
516 Views

SEG-FOOD Semantic Food Segmentation Through Deep Learning

Semantic segmentation is the topic of interest among deep learning researchers in the recent era.  It has many applications in different domains including, food recognition. In the case of food recognition, it removes the non-food background from the food portion. There is no large public food dataset available to train semantic segmentation models. We prepared a dataset named ’SEG-FOOD’[44] containing images of FOOD101, PFID, and Pakistani Food dataset and open-sourced the annotated dataset for future research. We annotated the images using JS Segment annotator.

Categories:
Artificial Intelligence
Image Processing
Computer Vision
2177 Views

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