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Questions tagged [object-detection]

Object detection is a computer-vision and image-processing technique for locating instances of objects in images or videos. Common applications include face detection and object tracking. Object detection algorithms typically leverage machine learning or deep learning to produce meaningful results.

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378 views

Find missing object(s) in image with a priori knowledge about the missing object(s) (w.r.t base image)

Problem Statement: I am working on developing a method, or borrow/modify/combine existing ones, where given an golden image (reference or base with all expected objects to be present), it is able to ...
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0answers
152 views

What are the 'protos' in TF Object Detection?

I am struggling to understand what are the 'protos' in TF Object Detection? Why do we need them here? Also, while setting up the TF API we need to download and compile protocol buffers. There is also ...
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1answer
57 views

How to train YOLOV4?

I am going to write yolov4 real-time object detection, and I have to do it for car then vehicle plate number, but it does not have to find plate number if there is no car, first car then number on car,...
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1answer
53 views

Can I train a CNN to detect the number of objects without localizing them first?

So I was trying to search but couldn't find any answers. I was wondering if it possible to train a model to detect the number of items of interest in a photo without having bounding boxes or dots to ...
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2answers
91 views

How can we create an label, value detector?

I am trying to implement an text detector using MaskRCNN such that the model detects the label and value as shown in the image below. Detecting the same is easier for fields like page date and order ...
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765 views

Bounding box regression in R-CNN

In R-CNN paper, they give the definition of the target values for bounding box regression Given that $(P, G)$ is a (prediction box, ground-truth box) pair of the form $(x, y, w, h)$ where $x, y$ is ...
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25 views

Few shot learning and object detector

I have a dataset with a lot of classes (~10000+) but few examples by classes (~15-). I want to classify these classes, but there are some specificities. My examples provide from a video stream. ...
2
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1answer
57 views

Where can I find free multi-instance single-label datasets for object detection?

I'm trying to find free multi-instance single-label datasets for object detection online. By "multi-instance and single-label" I mean that each image contains only object belonging to one ...
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25 views

Instance Segmentation using the predefined bounding boxes

I want to do Instance Segmentation using the images in my dataset which are already annotated and I don't want to train the model but use the pre-trained model. I was following this colab notebook. ...
2
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1answer
199 views

YOLOv3 Predicting bounding boxes for grid containing multiple centers

I recently started learning about YOLO and object detection, and I am kind of stuck on something. I was wondering if someone could explain to me what happens when a grid cell contains the centers of ...
2
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0answers
53 views

What is the difference in computational cost at inference time between object detection and semantic segmentation?

I am aware that YOLO (v1-5) is a real-time object detection model with moderately good overall prediction performance. I know that UNet and variants are efficient semantic segmentation models that are ...
2
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1answer
312 views

What am I supposed to see on tensorboard images tab?

I'm training an object detection model with Tensorflow and monitor the training task with tensorboard. I was expecting in the Images tab of tensorboard that displayed images would show a bounding box (...
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25 views

out of frame landmark detection with CNN

a robust landmark detector must cope with occlusion (the landmark surrounding are occluded by another object) the detection can still be performed but it should be stressed that the landmark is ...
2
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0answers
19 views

Object detection model's performance jumping up and down

I am training a model to detect buildings from satellite images in rural Africa. For labels, I use OpenStreetMap geometries. I use the Tensorflow Object Detection API and SSD Inception V2 as a model. ...
2
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0answers
80 views

In YOLO training, what if two objects' centers fall in the same grid?

As I know, YOLO predicts one classification result (as well as some bounding boxes) for each grid. But when training yolo, what if two or more objects' centers fall in the same grid? How to choose the ...
2
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1answer
77 views

Difference between text-based image retrieval and natural language object retrieval

I am working on creating a model that locates an object in the scene (2D image or 3D scene) using a natural language query. I came across this paper on natural language object retrieval that mentions ...
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0answers
128 views

How do anchor boxes in object detection work?

I wanted to get more into detail of anchor boxes. However from looking through associated code and papers, I could not grasp the concept in its full detail. I had a look at a lot of quora questions, ...
2
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1answer
83 views

Why yolo4 pytorch re-training loss seems high as like first time training?

I had a setup a yolo4 pytorch framework in google colab by cloning git clone https://github.com/roboflow-ai/pytorch-YOLOv4.git. I generated checkpoints by giving ...
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0answers
30 views

What is the difference between HLC (Histogram of local features) , CSS ( color self-similarity) ans MDST (Max DisSimilarity of Different Templates)

I'm new to computer vision and have been researching for Master thesis purposes in Detection algorithms and the techniques used in each. As I arrived to the point where alot of papers showed the ...
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0answers
236 views

How to interpret curve of regularization loss during CNN training?

I am fine-tuning a single shot detector (SSD) in tensorflow object detection api. I didn't freeze the backbone (mobilenet), I programmed the learning rate to go from e-3 to e-4 to e-5. In the paper ...
2
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1answer
40 views

Detect Objects on a table

is it possible to train a model which detects and draws bounding boxes for objects on a table, when I use a dataset where objects on a table are labeled with boundingboxes?
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254 views

How can I get testing accuracy using tensorboard for Detectron2?

I'm learning to use Detecron2. I've followed this link to create a custom object detector. My training code - ...
2
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1answer
331 views

Curve of MAPs to evaluate training progress of Mask RCNN on synthetic data

Is MAP (Mean Average Precision) a good substitute for measuring training and validation accuracy at different stages of training a machine learning model for object detection? I am retraining a Mask ...
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0answers
40 views

Complete and Incomplete Objects

I am working on this project in which I have to detect objects only when they are complete(not when objects are incomplete or partially visible).I have more than 20 classes of objects.I tried with ...
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0answers
32 views

Object coordinate detection with capsNet

Where can I find the implementation of object coordinate extraction with capsule networks in keras or pytorch?
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23 views

Does object detection do a better job at image classification than image classification

I read in an article that object segmentation can do object detection better than object detection algorithms. I assume this is because there is more detailed information in the annotation images. I ...
2
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0answers
344 views

How to calculate size and offset of YOLO grid in a fully convolutional network with zero padding?

Fully convolutional network with zero padding: I have a fully convolutional network which does not have any padding in convolutional layers. This implies that, after each convolution operation, the ...
2
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0answers
2k views

Transfer learning on yolo using keras

I am working on a project that uses object detection. I have logo images that need to be detected in a video. I am doing this in keras. I followed this blog to convert the yolo weights to a keras ...
2
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0answers
42 views

Is it possible to modify the layers of the models present in the Tensorflow Object Detection API

I would like to know if there is any way in which we can change the base layers of the models offered by the Tensorflow Object Detection API and if so, is it possible to change things like pooling/...
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0answers
761 views

How to calculate Average Precision for Image Segmentation?

If I've understood things correctly, when calculating AP for Object Detection (e.g. VOC, COCO etc) the procedure is: collect up all the detected objects in your dataset sort the detections by their ...
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0answers
483 views

mAP using Tensorflow object detection API

After I train my object detector using the Tensorflow object detection API(to detect only cars), I get an mAP value around 0.32 while running the eval.py script. However, in the Tensorflow Detection ...
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0answers
433 views

Training detector without bounding box data

From what I can see most object detection NNs (Fast(er) R-CNN, YOLO etc) are trained on data including bounding boxes indicating where in the picture the objects are localized. Is there any model ...
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0answers
24 views

Contextual Object Detection

An example of what I'd like to do is identify the price of a product on a product page. While I can train a CNN to identify prices, it's likely that it would recognise every instance of a price on a ...
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0answers
31 views

which algorithm will be good for detecting and recognition of faces from variety of angles

i am building a face recognition app for my class attendance system , i collect training data from social website like facebook, instagram and other, as you can see the images i got from there is not ...
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15 views

Forward height/width information into classification model?

Please forgive me if it's not the right StackExchange, but I didn't find any related to computer vision questions. Problem: I have a pipeline for object detection and classification where I first ...
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1answer
19 views

object detection model with few shot and active learning

This video https://youtu.be/60Sk-mq3Cr8, from 0 to 2:00 minutes, mentioned an object detection model that can train on 10 samples and improved over time, what kinds of the latest model out there that ...
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0answers
22 views

Detect Bias in YOLO format object detection dataset

I work on YOLO data annotation. I want to know how to detect bias in the data before training in this kind of datasets. What are the metrics and analysis methods needed to use to detect bias in ...
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0answers
17 views

How to make my Object Detector generalizable to unseen data

I am working on a Vehicle detector using semi-supervised data. I created the data by applying another very performant Object Detector (which is slow and I can't use it for real-time detection). I ...
1
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1answer
11 views

Determining direction from a series of bounding boxes

I have a sequence of bounding boxes for people moving in and out of a camera's view. I'd like to determine the direction each person is moving (basically just left/right), so I can apply this as a ...
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0answers
247 views

Best way to train yolov5 on a custom dataset

I have a dataset with about 100 images that look like this. My goal is get yolov5 to detect buildings in similar images. In order to do this I would like yolov5 to get to close to 1 in precision on ...
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0answers
9 views

How to send frames of a video from a mobile application to an endpoint for object detection?

So usually in this case for object detection on video data I would load the model on the mobile application and then perform inference on it from there, but I have a scenario where it would be better ...
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0answers
14 views

Understanding Object Detection Chart Showing Category Percentages "As Total Detections Increase"

I'm trying to understand the following picture, which comes from the "description of updates" pdf on this site for "Diagnosing Error in Object Detectors" by Derek Hoiem, Yodsawalai ...
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0answers
25 views

Why YOLO algorithm predicts B boxes for each grid cell S?

In yolo each grid cell predicts multiple bounding boxes lets say in YOLOv1 it predicts B=2, what is the advantage as it only predicts class probabilities only once for each grid cell. If that so why ...
1
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1answer
55 views

How to resize image along with their mask?

I have original images of the size 1935x1481. I am using labelme to annotate the images. I am creating polygons on the original image. Is there a way to resize the image along with their mask? I am ...
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1answer
40 views

Small object detection preprocessing

I am currently working on an object detection project in which I amtrying to detect very small objects 50x50 object in a 2k image. EfficientDet produced a very low result if I just put the raw ...
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0answers
18 views

How to convert classification maps to bounding box

I have a fully convolutional network that has been trained to classify cats and non-cats in small images (48x48). Because it is fully convolutional, I would expect that if I run it in bigger images, ...
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0answers
12 views

Are there any publicly available scan document database containing text together with ticked/unticked checkboxes?

I would like to train an optical mark recognition model (OMR) to detect and classify the ticked/unticked state of checkboxes in documents. Does anyone know where I can have access to a publicly ...
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0answers
33 views

Why are axes-aligned bounding boxes used in object detection

I understand (I think) why in object detection, the result is a rectangle: it is a simple shape that can be defined by 4 variables (2 pairs coords of opposite corners or 1 pair of coords + width and ...
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0answers
93 views

Yolo issue with detecting positives

I've recently tried to implement a Yolo detector for traffic light detection based on yolo v1 implementation in Tensorflow/Keras. My model really struggles with detecting small objects. Loss function ...
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0answers
13 views

Optimizing a model for three different metrics that have different ranges

I have a multiple object tracker that I apply on a specific object in an image series. The tracker has several parameters that can be adjusted which affects the performance of the tracking. I am ...