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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15 views

Detect object in video and augment another video on top of it

I'm trying to detect an object in a video (with slight camera movement), and then augment another video on top of it. What is the simplest approach to do that? For instance, let's assume I have this ...
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6 views

Fast R-CNN region proposal method

I read so many articles and the Fast RCNN paper, but I'm still confused on how the region proposal method works in Fast RCNN, as you can see in the image below they say they used a proposal method but ...
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25 views

What's the meaning of the Jaccard decay and the Jaccard recall? [closed]

I know the meaning of the Jaccard index, but when it comes to Jaccard decay and Jaccard recall I cannot see the difference or the meaning of it.
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21 views

What are some papers on face comparison in videos?

I have the following problem. Given two random frames in a video of some people, assume I can detect all faces in both frames. I would like to create a classifier that takes in pairs of faces out of ...
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12 views

What is 3D face recognition? and how we can check liveness of a face image?

Actually what is mean by 3D face recognition? In normal cases we are extracting face encoding s from a 2D image,right? Is 3D face recognition is used for liveness detection? how its possible?
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1answer
19 views

Why do we set offset (0.5) in single shot detector?

In the paper SSD: Single Shot MultiBox Detector, under section 2.2 - (4), why do we add an offset of 0.5 to x, y in generating the anchor boxes across feature maps?
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11 views

Object Detection and Distance

Suppose we have an object detector that is trained to detect $20$ products. If two objects are too close to each other, in general, would an object detector do a poor job of correctly classifying them?...
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13 views

How come a detection works after global average pooling 2D?

I use an off-the-shelf convolutional neural network, where at the end of the convolutional part, the depth of the last convolutional layer is expanded and then its 2D average is computed (such that ...
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15 views

What are the best human re-identification methods available?

I have a use case where I need to detect, track and re-identify humans in CCTV footage. I have usedSSD and Median Flow to detect ...
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30 views

How to improve recognition of distanced objects?

I am developing a model of object detection based on fast-rcnn architecture (transfer learning) in tensorflow object detection API. My problem is that created model happens to produce very good ...
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0answers
8 views

How can I perform object detection by cutting the image into many pieces each containing one object?

Our task is to do a special object detection: In the traditional case, the neural network will output some rectangle bounding boxes. But in our case, the network should output many nearly-vertical ...
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1answer
23 views

Object detection: combine many classes into one?

I am trying to train a model that detects logos in documents. Since I am not really interested in what kind of logo there is, but simply if there is a logo, does it make sense to combine all logos ...
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22 views

Can the addition of low-quality images to the training dataset increase the network performance?

I already trained a deep neural network called YOLO (You Only Look Once) with high-quality images (1920 by 1080 pixels) for a detection task. The result for mAP and IOU were 93% and 89% respectively. ...
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1answer
42 views

Do deeper residual networks perform better or worse?

If you have an $18$ layer residual network versus and a $32$ layer residual network, why would the former do better at object detection than the latter, if you have both models are training using the ...
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16 views

Dealing with very similar object classes in object detection

I'm working on an object detection problem using Faster R-CNN. I need to identify two object classes, and they are very similar to one another. Furthermore they are similar to a third type of object ...
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22 views

How to adapt MTCNN to large images with relatively small ROIs

This question could be generalised to how to adapt state-of-the-art object detection models to large images with small ROIs. In my particular case I'm trying to use this implementation of MTCNN to ...
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2answers
33 views

What are the reasons behind slow YOLO training?

I'm testing out YOLOv3 using the 'darknet' binary, and custom config. It trains rather slow. My testing out is only with 1 image, 1 class, and using YOLOv3-tiny instead of YOLOv3 full, but the ...
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12 views

Irregular results while prediction identical object on same image

I used the pre-trained model faster_rcnn_resnet101_coco.config with my own dataset. I have two issues some objects were not detected, while I learned it, with a high number of steps, and test over ...
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13 views

CBIR and object detection

How does CBIR (content based image recognition) fit into the problem of object detection? Let's say we want to detect 4 types of dogs (Golden Retriever, Cocker Spaniel, Greyhound, and Labrador). We ...
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1answer
45 views

Is there a car detection software written in Tensorflow or Keras with Python?

For a current project demo, I'm searching for a car detection neural network in Python written in TF/Keras (or any other type, as long as it has no C++ dependencies). Later on, I gonna write my own, ...
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2answers
45 views

Traffic Sign Detection and Recognition

I'm working on a project for my college to recognize traffic sign from a picture I searched a lot but can't find the best method to do it can someone recommend me a paper, article or even GitHub link ...
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0answers
11 views

Similarity of Images (CBIR) for two different cameras

Suppose we have a top down picture of an object (let's say it is a shoe) from an overhead camera. Also suppose we have a database of various objects from a closeup camera. If we feed the top-down ...
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1answer
27 views

Choosing Data Augmentation smartly for different application

I'm trying to understand the role of data augmentation and how it can affect the performance/accuracy of a deep model. My target application is fire detection (on video frames), with almost 15K ...
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1answer
40 views

On which data evaluate an object detection model ? (similar or real life data ?)

I'm training an object detection model (SSD300) to detect and classify body poses in thermal images. Even I have more than 2k different poses, but the background does not change much (I have only 5 ...
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0answers
16 views

Post-classification after inference

I designed a fire detection using Deep Learning based classification approach. In my training dataset, I have both fire and fire smokes are supposed to be detected (all under "fire"; mostly real fires ...
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1answer
57 views

Possible model to use to find pixel locations of objects

I want to make a model that outputs the centre pixel of objects appearing in an image. My current method involves using a CNN with L2 loss to output an image of equivalent size to the input where ...
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3answers
158 views

Small size datasets for object detection, segmentation and localization

I am looking for a small size dataset on which I can implement object detection, object segmentation and object localization. Can anyone suggest me a dataset less than 5GB? Or do I need to know ...
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0answers
14 views

Text detection on English and Chinese language

https://arxiv.org/abs/1910.07954 In this paper, we have a convolutional character neural network where we have object detection by taking a character as a basic unit. First, we do character detection ...
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0answers
29 views

What is the expected value of an IOU in this case?

I have a detection problem. An object with a probability of 0.5 is in a box with coordinates ((0,0), (2, 2)) and with a probability of 0.5 a box with coordinates ((2,0), (4,2)). What is the maximum ...
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15 views

Finding unique faces in a video

I am trying to find unique (distinct) faces in multiple videos files. What is the best way to do that?
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15 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
25 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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0answers
18 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
195 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
51 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
38 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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0answers
16 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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0answers
37 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
38 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
48 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
48 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
34 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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0answers
13 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
35 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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0answers
34 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
156 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
94 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
32 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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2answers
48 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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0answers
16 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. ...