Hebsibanisha·Aug 12Explain IoU (Intersection over Union).IoU (Intersection over Union) is a metric used in computer vision to measure how much a predicted bounding box or segmentation overlaps…
Kushagra Tomar·Nov 10, 2025Understanding Key Evaluation Metrics in Deep Learning: IoU, mAP, and Dice CoefficientWhen working on image segmentation or object detection tasks in Deep Learning, evaluating your model’s performance accurately is just as…
Abhishek Jain·Jan 21, 2025IoU as a loss functionIn the early stages of object detection models, L1 (Mean Absolute Error) and L2 (Mean Squared Error) losses were commonly used to calculate…
Abhishek Jain·Jan 20, 2025IoU (Intersection over Union)Intersection over Union (IoU) is used to evaluate the performance of object detection by comparing the ground truth bounding box to the…
Abhishek Jain·Aug 26, 2024Semantic vs instance vs panoptic segmentationThe difference between semantic vs. instance vs. panoptic segmentation lies in how they process the things and stuff in the image.A response icon4
