Questions tagged [object-detection]

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18 views

Tuning SSD Mobilenet for better performance

I'm using Tensorflow's SSD Mobilenet V2 object detection code and am so far disappointed by the results I've gotten. I'm hoping that somebody can take a look at what I've done so far and suggest how I ...
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3answers
77 views
+100

How can we extract fields from images?

I am making an document parser which extracts data fields from the documents and store them in a structured way. Each field in my dataset is horizontal which is easy to extract. But the model fails ...
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23 views

Suggestions for building Localisation algorithm for 5 classes

I'm currently working on a project for object detection using a very light CNN model , but till now I was able to classify all 5 classes with ~94% accuracy with 5 layered CNN using Keras and now I'm ...
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14 views

Generic object detection - unspecified list of classes and high accuracy

As a part of a small project, I would like to create tags for a set of pictures (posters). I know that if I want to recognize a lot of objects I need to have a model which was trained on a large ...
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0answers
12 views

Determining position of anchor boxes in original image using downsampled feature map

From what I have read, I understand that methods used in faster-RCNN and SSD involve generating a set of anchor boxes. We first downsample the training image using a CNN and for every pixel in the ...
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0answers
17 views

PyTorch Faster R-CNN ResNet50 - support for occlusion?

Currently I'm using the PyTorch model Faster R-CNN ResNet50. I instantiate this as follows: ...
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1answer
18 views

what is darknet and why is it needed for YOLO object detection?

what is darknet and why is it needed for YOLO object detection ? I read that its a neural network written in C , but why is it needed for YOLO object detection when we have lot of machine learning ...
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1answer
22 views

why we have run make.sh file initially in darknet and YOLO object detection?

In have seen a couple of text and objection detection algorithm wher the first step everyone dose is to install cython and run a make.sh file . why we have run make.sh file initially in darknet/YOLO ...
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14 views

Where can I download images along with their annotations xml?

I need images and their annotation(xml) of various catgeries like 'Jackets','truck' ,'glasses' .Which site can I find them or is there any github repository where I ...
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16 views

Tensorflow Object Detection API, update performance measurement

I am using Tensorflow Object Detection API to classify objects in the images. I am using own dataset. I am facing the problem of performance. I need a suggestion about the training strategy. I have ...
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2answers
68 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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18 views

How does Haar Cascades algorithm work?

Haar Cascade is a machine learning object detection algorithm used to identify objects in an image or video and based on the concept of ​​ features proposed by Paul Viola and Michael Jones in their ...
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0answers
19 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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13 views

Find Correspondence between Image Pair

I have a problem with the following provided: (for some reason I can't disclose the dataset) Dataset My dataset is a bunch of raw images with a lot of strip-like objects. Each image has a lot of ...
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0answers
7 views

Is it possible to train a object detection network with fixed topology for a variable amount of classes?

Let's assume we have a neural network detecting objects (e.g. YOLO). The network topology is built to detect 10 different object classes. But for now I don't know, which objects I potentially want to ...
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0answers
8 views

detect diagram region in research papers

How can I detect diagram region and extract it from a research paper
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1answer
32 views

Is there a common strategy to measure if a difference-significance of two areas under two ROC curves

I conduct sound detection experiments with mice. I have a stimulus sound and a "noise" sound that shoukd be ignored. I want to measure how well the mouse ignors the noise (with respect to, say, ...
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1answer
19 views

Detecting hand-written objects from images

Problem Statement: Identify the sub-region in an image with hand-written text/scribbling (Attaching an example for reference. Masked some text for privacy) Once I get the pixel values, I want to ...
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8 views

Using context to improve object detection and image classification

we are building an image classifier using the Tensorflow Object Detection API. Our images often appear in groups, e.g. a cluster of dogs playing in the grass. Ofter our model will recognize some of ...
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30 views

One part of my loss function overfits. How do I fix this?

I am working on an object detection problem where the final loss that is being optimized is the sum of an L2 loss (for the error in the predicted w, h values), and three binary cross entropy losses (...
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1answer
24 views

Classifying objects in video without machine learning

Recently, Nick Bourdakos posted a series of videos demonstrating bottle detection in a video stream using Tensorflow.js. Specifically, he is using SSD-mobilenet. The problem could be summarised as ...
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39 views

Combining 2D Detection with Disparity Maps to Learn 3D Object Geometry

Since the disparity map above is a representation of the object's distance from the camera's origin, is it reasonable to assume that a network (perhaps a convolutional LSTM) could be trained to ...
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0answers
12 views

Grape disease detection

i'm trying to realize a detector for diseased grape leaves, for this par of the project i'm just interested in detecting lets say, the percentage of diseased to healty leaves and/or place a flag where ...
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1answer
65 views

Attribute error when loading pickle file in python jupyter notebook

I have created a config file with the following code for an object detection task and saved in the local disk. ...
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1answer
16 views

Transfer learning VGG16 does not work as expected. (Detect tacos as hamburgers)

I am new in this field of machine learning, to test I wanted to do a simple project. Create a cnn capable of recognizing hamburger images. As I do not have the ability to collect more than 10,000 ...
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0answers
23 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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1answer
202 views

Does resizing images during training affect the bounding box annotations?

I am using tensorflow object detection API to train my own custom dataset and I am preparing annotations for the same. I see from the config file of my pre trained ssd inception net, the size of the ...
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0answers
21 views

Detect the important part of a receipt (CNN)

In general I want to detect prices and products from a receipt. My approach was to detect the important part of the receipt (products with their prices) to then afterwards pass to firebase ml kit to ...
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1answer
18 views

Similar objects same labels

Example: red paprica and green paprica. The output I need is just paprica, should i label them the same or give them two labels "green paprica" and "red paprica" and leater on just treat them as one? ...
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10 views

Will an object detector detect all the 10 objects in an image if the dataset had 1 object per image (the images had 10 similar objects)?

I was making an object detector which will detect balloons in an image. now since there were lot of balloons in the images of the dataset. so I annotated only 1 or 2 balloons per image even if there ...
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0answers
18 views

Training object detection models from the scratch without using pre-trained models and weights

I have a data set of 25 images. I wish to run Faster RCNN or yolov3 object detection models on this images.I want to create my custom trained model and get weights after running say 10 epochs. Later I ...
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1answer
238 views

How to use Tensorflow Model Zoo frozen graphs in an Estimator pipeline?

As Tensorflow* says on their website, the Estimators API should genereally make most ML tasks more friendly. In the past I've been using Tensorflow's Model Zoo for object detection as I didn't (and ...
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0answers
11 views

what will happen if by mistake i train a object detection algorithm with images containing multiple bounding box in the same object?

I have a dataset of images where I may have some images where the bounding box is annotated time on the same object. Will that create a problem in the accuracy of the model?
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82 views

Beating Roulette with Neural Networks, YoloV3, and PyTorch

Background: I am in my last semester of electrical engineering, and I am working on my senior design project. The senior design project is a two-semester design project in which students outline, or ...
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21 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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5 views

Measuring object's surface inside an image

Greeting everyone, I'm working on a project on Jupyter Notebook, python 3 , so I have a set of images of products and I'm trying to measure the surface tooken by each product inside the image which ...
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10 views

Computer Vision model/solution deployment channels

I am very new to computer vision and am currently dealing with ways to deploy a computer vision model/solution for my current company keeping in mind the following factors :- 1)Capability to demo ...
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0answers
84 views

Intersection Over Union / Bounding Box for multiple bounding boxes in an image

My image has 4 ground truth bounding boxes and the prediction just has 3 bounding boxes I need to calculate the quality of bounding boxes predicted. I know how to calculate IoU / IoBB for 2 ...
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14 views

How do you run Yolo model in parallel instances ? Is their a forked version to run in batches?

How How do you run Yolo model in parallel for different data sources ? Any real time learning's appreciated.
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25 views

CNN model overfitting to a Color, not learning edges

I've been working on this binary classifier which predicts if a certain type of battery is in the live webcam feed or not. The problem I am facing is that my CNN model predicts any 'orange object' in ...
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1answer
188 views

Face detection for different poses more robust than MTCNN?

I am using the MTCNN model described on machinelearningmastery here: MTCNN ipazc But it won't detect certain orientations, ie. somebody lying on the ground so the top of the head points to the right ...
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77 views

Yolo v1 loss function misunderstanding

I am currently implementing Yolo v1 from scratch and I have some difficulties to understand the confidence loss part. The different implementations and articles I have seen on internet seems to give ...
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0answers
4 views

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

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
15 views

How do I identify specific parts of a PDF document?

I have a bunch of medical records that I have to input manually. I would like to automate this but all of the records are in different formats. What is the best strategy to build a deep learning model ...
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0answers
44 views

How does a Faster R-CNN gets trained and how does the Region Proposal Network fits into that?

so a Faster R-CNN consists of 3 parts: -the Base CNN -the Region Proposal Network with RoIpooling -and the classification CNN at the end So I asked myself if all these three Networks are trained ...
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13 views

How should i prepare my dataset for efficient object detection and multi class classification?

I am currently using faster RCNN inception v2 model for detection and classification of object of 2 different type which are very closely identical (eg. rip apple and partially stall apple). how ...
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0answers
26 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
21 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 ...
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4 views

Component detection, design process questions

I'm trying to perform feature location on a mother board of a specific kind of notebook. What I have tried is that I took a large number of image of the whole motherboard. I have 5 classes of ...
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1answer
66 views

Why is it necessary to overfit a yolov2 on a subset of images before model training?

I am using yolov2 for passport details detection with 8 classes? My object detectiion bounding boxes has errors though recognition being fine. I want to know if object_detection by overfitting with a ...