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Latest in Computer Vision

Artificial IntelligenceComputer VisionPreprint

AI model reaches 97% accuracy identifying Bangladeshi mango varieties

EfficientNetB0 correctly classified 97.36% of 303 held-out mango images, with eight errors, in a study that also deployed the model through a public web app. The result is an initial within-dataset benchmark, not evidence that the tool will deliver the same performance across regions or improve agricultural decisions.

Journal of Bangladesh Academy of Sciences, vol. 50, Supplement 1, p. 114, 20265 min read

Artificial IntelligenceComputer VisionPreprint

No-Code AI Tool Shows Higher Crack Recall in Tungsten Test

A preprint reports that YOLOEZ, an open-source no-code interface for YOLO-based defect detection, achieved higher recall, F1 score and IoU than a tuned morphological image-processing baseline on tungsten SEM images. The baseline had higher precision and specificity, showing that the tool's advantage did not extend to every measure.

Scientific publication5 min read