![]() ![]() The training, validation, and test images in COCO-Search18 are already freely available as part of COCO. COCO-Search18 is partly responsible for this broadening, and represents a significant expansion of the benchmark into goal-directed search behavior. As part of this re-organization, the benchmark will broaden its scope to go beyond purely spatial fixation prediction and even beyond the free-viewing task. COCO-Search18 is now part of the MIT/Tuebingen Saliency Benchmark, previously the MIT Saliency Benchmark but renamed to reflect the new group that will be managing the competition. It consists of the eye gaze behavior from 10 people searching for each of 18 target-object categories in 6202 natural-scene images, yielding ~300,000 search fixations. COCO-Search18 is a laboratory-quality dataset of goal-directed behavior large enough to train deep-network models. ![]()
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