Questions tagged [object-detection]

For questions related to object detection (which includes e.g. human or face detection), whose goal is to locate a specific object in an image. Object detection is different from object recognition, whose goal is to find the type of object(s) in the image.

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11 views

Non Max Suppression and Object Detection

My understanding on how non max suppression work is suppress all overlapping boxes that are over jaccard overlap threshold (may be 0.5). The boxes to be considered are on confident score (may be 0.2 ...
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1answer
22 views

Evaluate precision and recall results

The following table shows the precision and recall values I obtained for three object detection models. I evaluate the first two models as the following. The target is to find the best object ...
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11 views

YOLOv3 Synthetic Data Training

Suppose we want to train a model to detect various objects. Let's say we have training data of those objects in various backgrounds along with their bounding boxes. Basically these objects have been ...
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2answers
49 views

Calculation of FPS on object detection task

How to calculate mean speed in FPS for an object detection model like YOLOv3 or YOLOv3-Tiny? Different object detection models are often presented on charts like this: I am using the DarkNet ...
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1answer
18 views

Object Detection Algorithm that detects four corners of arbitrary quadrilateral, not just perpendicular rectangular

Is there some established Object Detection algorithm that is able to detect the four corners of an arbitrary quadrilateral (x0,y0,x1,y1,x2,y2,x3,y3) as opposed to the more typical perpendicular ...
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1answer
32 views

Accuracy scores in a Deep Learning project

I'm using three pre-trained deep learning models to detect vehicles and count from an image data set. The vehicles belong to one of these classes ['car', 'truck', 'motorcycle', 'bus']. So, for a ...
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13 views

Can an image recognition model used for human pose estimation?

I am currently writing my thesis about human pose estimation and wanted to use Google's inception network, modify it for my needs and use transfer learning to detect human key joints. I wanted to ask ...
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17 views

Find the nearest object in a image which is captured from camera?

Objective : To find the nearest object (closer distance object) in the single camera image. But Image Contains multiple objects shown below: I searched in the net and found this formula to ...
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1answer
36 views

Recognition of lines in a chalkboard

I'm trying to develop a real-time application that, from the sequence of chalkboard images captured by a webcam, recognizes the lines being draw on it. It must be able of recognize the lines from ...
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1answer
43 views

How can I detect diagram region and extract (crop) it from a research paper [closed]

How can I detect diagram region and extract(crop) it from a research paper
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1answer
46 views

Can a trained object detection model deal with variations of the input?

Suppose an object detection algorithm is good at detecting objects and people when an object and person is close to a camera and upright. If the person walks farther away from the camera and is "...
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0answers
33 views

FasterRCNN's RPN network training

I would like to know if my understanding of RPN training is correct, and if never training the RPN on some specific anchor box is bad (i.e if the anchor never sees good nor bad examples). To make my ...
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12 views

Do backgroundSubtractor functions in opencv only detect moving objects?

There are some backgroundsubtractor functions in opencv like backgroundsubtractormog2 , backgroundsubtractorGMG and ... . It seems that these functions only detect moving objects in a video. But I ...
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1answer
27 views

Is it possible to use AI for detecting the volume of a cup

I was just wondering if it's possible to use Machine Learning to train a model from a dataset of images of cups with a given volume in the image and then use object detection to detect other cups and ...
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30 views

How can I get the predicted box in Faster R-CNN?

The RPN loss in Faster RCNN paper is $$ L({p_i}, {t_i}) = \frac{1}{N_{cls}} \sum_{i} L_{cls}(p_i,p_i^*) + \lambda \frac{1}{N_{reg}} \sum_i p_i^* L_{reg}(t_i, t_i^*) $$ For regression problems, we ...
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0answers
50 views

How can I train YOLO with the COCO dataset?

I am trying to implement the original YOLO architecture for object detection, but I am using the COCO dataset. However, I am a bit confused about the image sizes of COCO. The original YOLO was trained ...
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1answer
62 views

How can I detect moving objects in a video by OpenCV without using deep learning techniques?

I want to detect moving objects in a surveillance video without using machine learning tools (like neural networks). Is there a simple way in the OpenCV library? What is an efficient solution for this ...
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1answer
19 views

Multicamera Tracking vs Single Fisheye Camera

Suppose you want to detect objects and also track objects and people. Is it better to train a model using a single fisheye camera or using multiple cameras that mimic the view of the fisheye camera? ...
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0answers
29 views

Are there any easy ways to create annotated training images for object detection?

For the purposes of object detection, are there any easy ways to create annotated training images? For example, if we have $10,000$ images and want to draw bounding boxes on 2 objects for each image, ...
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15 views

learning object recognition of primitive shapes through transfer learning problem

Question on transfer learning object classification (MobileNet_v2 with 75% number of parameters) with my own synthetic data: I made my own dataset of three shapes: triangles, rectangles and spheres. ...
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1answer
128 views

Should I train different models for detecting subsets of objects?

Suppose we have $1000$ products that we want to detect. For each of these products, we have $500$ training images/annotations. Thus we have $500,000$ training images/associated annotations. If we want ...
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0answers
9 views

yolo output and how to define labels for backpropogation on it

I want to build the yolo architecture in keras but can't understand the basic idea behind the training of the yolo, like how to define the labels for whether there is no object there what we have to ...
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0answers
21 views

How to count pixels in a object mask which is segmented using Mask R-CNN?

I have segmented concrete cracks from concrete structure images using Mask R-CNN. Now I need to measure the length of the segmented masked crack. Will the pixel counting method work? Can anyone help?...
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2answers
43 views

Which neural network is appropriate for measuring object dimensions from stereo images?

I have stereo pairs (left, right) images of concrete cracks. I want to measure the length of the crack from those image pairs. Which neural network is appropriate for measuring object dimensions from ...
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1answer
29 views

Combining Object Detection and Speech Recognition

Are there any good ways of simultaneously incorporating object detection with speech recognition? For example, if you want to identify whether an animal is a dog or cat, we can obviously use visual ...
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1answer
34 views

Interpreting Keras Yolov3 config file [closed]

How does one interpret the "min_input_size", "max_input_size" and "anchors" fields in the Yolov3 config file here. In particular, suppose we have the following: ...
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1answer
29 views

If an image contains two distinct objects, should I create a copy of this image with distinct labels for each copy?

Suppose we want to detect whether an object is one of the following classes: $\text{Object}_1, \text{Object}_2, \text{Object}_3$ and $\text{Person}$. Should the annotated images only contain bounding ...
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1answer
45 views

Is it possible to train a CNN to predict the dimensions of primitive objects from point clouds?

Is it possible to train a convolutional neural network (CNN) to predict the dimensions of primitive objects such as (spheres, cylinders, cuboids, etc.) from point clouds? The input to the CNN will be ...
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0answers
6 views

How to measure object size from the disparity map using CNN?

I am a student learning about image processing using CNN. I want to learn how to measure the object size from the disparity map obtained from left and right stereo images.
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12 views

How to measure the size of an crack which is segmented from an image using Mask-RCNN?

I am a masters student going to work in a project to analyze the cracks in underwater concrete structures. I need some suggestions for data acquisition and length measurement of the crack. I have ...
2
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1answer
44 views

Pose estimation using CNNs on Point clouds

In the case of single shot detection of point clouds, that is the point cloud of an object is taken only from one camera view without any registration. Can a Convolutional Network estimate the 6d pose ...
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1answer
17 views

Two Models vs One Model for Person Detection and Object Detection

Is it possible to do person detection and object detection within one model? The training data would be images annotated with bounding boxes for objects and people. Because normally object detection ...
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0answers
16 views

Defect Detection System using Deep Learning

What is the general approach to defect detection in deep learning? Would the approach be better if we try to learn the positive images (defects in images) as much as possible or we try to learn the ...
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1answer
31 views

Is it better to adjust the natural lighting (while recording the video) or to subsequently apply filters on the original video?

For the purpose of object detection, is it better to adjust the natural lighting (while recording the video) or to apply filters (e.g. brightness filters, etc.) on the original video to make it ...
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10 views

How to set loss weight to zero for an output dimension in keras?

Suppose I am training a model to detect facial keypoints that allow occlusions to be present. The input is an image of a face, and the model has to predict the x,y coordinate of both eyes and mouth. ...
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0answers
125 views

What are the differences between Yolo v1 and CenterNet?

I recently read a new paper (late 2019) about a one-shot object detector called CenterNet. Apart from this, I'm using Yolo (V3) one-shot detector, and what surprised me is the close similarity between ...
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75 views

Which metrics of COCO API are suitable for object detection

These days I train a person detector and I use COCO API to evaluate my model. It uses Recall and Precision to evaluate a detection task. It's output is something like this: ...
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0answers
9 views

How mAP is unfair evaluation metric for Object Detection?

The following figure is from the last page in YOLOv3 paper highlighting how mAP is unfair metric for evaluating Object Detectors: The figure shows two hypothetical Object Detector results which the ...
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0answers
51 views

How is Average Recall (AR) calculated for an object detection model?

After looking around the internet (including this paper, I cannot seem to find a satisfactory explanation of the Average Recall (AR) metric. On the COCO website, it describes AR as: "the maximum ...
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11 views

what is the best dataset (or combination of datasets) for training a person detector?

I want to train a person detector for MOTChallenge dataset, but I want to avoid using the dataset as training set for my detector. Therefore, I want to use another dataset or combination of several ...
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0answers
15 views

Object detector always predict high confidence bounding box after dataset augmentation

I am using the Object Detection API to train a MobilenetV2-SSD object detector with just one class. I started from the sample pipeline tuned for the COCO dataset. During the first training I could ...
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1answer
67 views

Should I use single or double view for gender recognition?

My project requires gender recognition of people shown on the given images, with more than one person per image. However, these people can be positioned in frontal or side view(passing by ...
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0answers
66 views

Extending FaceNet’s triplet loss to object recognition

FaceNet uses a novel loss metric (triplet loss) to train a model to output embeddings (128-D from the paper) such that any two faces of the same identity will have a small Euclidean distance, and such ...
2
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1answer
47 views

Why tf object detection api needs so few pictures?

I am wondering why tf object detection api needs so few picture samples for training while regular cnns needs many more? What I read in tutorials is that tf object detection api needs around 100-500 ...
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0answers
10 views

Can mAP score be used to describe “recall” rate of a model?

I have a general question regarding the mAP score used in measuring object detection system performance. I understood how the ...
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0answers
50 views

Does Retina-net's focal loss accomplish its goal?

Taking out the weighting factor we can define focal loss as $$FL(p) = -(1-p)^\gamma log(p) $$ Where $p$ is the target probability. The idea being that single stage object detectors have a huge ...
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1answer
39 views

How do I identify the number and type of objects in the same picture?

I need to identify the number and type of all objects in a picture, so there can be multiple objects of the same type. For example, I have a picture with $10$ animals, and I want my program to tell ...
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0answers
20 views

How can I convert the annotations produced by LabelImg to labels for Yolov2?

I was recommended to use LabelImg to create annotation labels for YOLOv2. However, the annotations look something like this: 4 0.517500 0.597500 0.915000 0.735000 (classes and 4 coordinates x,y,w,h)...
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1answer
552 views

How to Mask an image using Numpy/OpenCV?

I am detecting wheels with a deep learning algorithm. The algorithm gives me the coordinates of those rectangles. I want to keep data that is in the rectangles of the image. I created rectangles as a ...
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19 views

When should I stop the object detection model training while mAP are not stable?

I am re-training the SSD MobileNet with 900 images from the Berkeley Deep Drive dataset, and eval towards 100 images from that dataset. The problem is that after ...