Questions tagged [object-detection]
Object detection deals with recognizing the presence of objects of a certain semantic class (e.g., “humans”, “buildings”, “cars”, etc.) in digital image and video data.
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Object detection for finite dataset
Consider the following scenario
If I want to train a model to detect and count these squares:
These squares will never be different. They will always look exactly the same, and be of exactly the ...
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Is it reasonable to use background subtraction to identify some objects in sequential frame images to start labeling objects for YOLO training?
I know background subtraction is not a complete solution for object detection, but I’ve tried it for identifying potential new objects appearing in fixed background camera scenarios (millions of ...
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How to Plot and Interpret the ROC Curve for Segmentation-based Object Detection Models?
I'm trying to plot the ROC Curve for a number of target/object detection models and compare their performance. The pre-trained models in question take an input image and they output a mask image where ...
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Wilcoxon's Signed-Rank Test in the context of 2 algorithms and 1 domain
I'm trying to understand whether my analysis for a problem is in the right direction.
I have 2 algorithms (3d object detectors) that I've applied to the same dataset to obtain TP, FP and FN's for each ...
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Confidence interval for object counting
I'm working on object counting problem with deep learning object detection methods (specifically, yolo and faster rcnn). Is there any known method for uncertainty qunatification for object counting (i....
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Why regarding mean Average Precision for 50 and for 50 to 95? And can you average different evaluations?
I saw a lot of papers using mAP@50 and mAP0:5:95, but in terms of deciding how precise a trained object detection model is, I do not understand why often both values are discussed and shown. Wouldn't ...
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Why detections count is not equal to unique truth count in YOLOv4 test result report?
I trained model using YOLOv4 on GPU, CUDNN and openCV (python) with AlexeyAB\Darknet with multi-label on windows environment. These labels are 25 classes (from 0 to 24). Then I test the model and I ...
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Object detection: better to train with imbalanced dataset or remove images to balance out [duplicate]
I am training an object detection model using the YOLOv5 architecture. I have the following classes and counts.
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Probability of an image containing a specific object, by combining the results of multiple dependent tests
I am trying to assign to images the probability of them containing a metal building. The images can contain either metal buildings, non-metal buildings or no building.
Let $B$ be the event that an ...
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Confidence intervals for Object Detection metrics
I would like to come back on this "When do we require to calculate the confidence Interval?" since recently a reviewer asked me to provide confidence intervals for metrics regarding my work ...
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Any image datasets with Inter-annotator agreement (IAA) values recorded? [closed]
Is anyone familiar with publicly accessible image datasets that include Inter-annotator agreement (IAA) scores? Ideally for object detection or classification tasks.
Thank you!
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Object detection and geolocating the bounding boxes
I have acquired videos from a dashcam installed on a vehicle that went around different portions of an airport. My objective is to detect cracks in the pavements. After identifying them, I then need ...
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Average Precision (AP) for object detection, huge confusion
I've been reading about how object detection models are evaluated. It seems that the metric most often used is AP. But I have stumbled upon 2 different approaches that I think mean completely ...
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For "fine-tuning", does the "domain adaptation" approach make sense?
I understand "domain adaptation" to be a type of "transfer-learning" technique.
Domain Adaptation:
By applying knowledge obtained from a domain with sufficient teacher labels (...
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YOLOv1 and YOLOv2 -- Pr(Object) and "responsible" boxes
In the YOLOv1 paper, Pr(Object) denotes the probability that there is an object in a certain grid cell.
When it comes to the ground truth values, which values can Pr(Object) take? Only 0 and 1?
What ...
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