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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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 ...
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248 views

How much memory will be required to train EfficientDet D7 for object detection?

I am planning on doing some object detection once I collect my image database and annotate the images. I'm going to use the TensorFlow 2 detection Model Zoo, as it offers a great selection of pre-...
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Tensorflow: How to load/restore a FULL model (.pb, .pbtxt, .graph, .ckpt, variables, events)?

I recently switched from PyTorch to TF (1 and 2) and I am trying to acquire a good workflow with it. The simple things I want to do are the following: Load a full pretrained object detection model ...
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118 views

Region Proposal Network - How to subsampling 256 fg/bg anchors

I am trying to understand training process of RPN. I have problem with creating mini batches of 256 anchors. If features map has shape 18x25=450 and every position has 9 anchors it is 4050 potential ...
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20 views

Comparison of different ways of Upsampling in detection models

There are various ways to increase the resolution of tensor in (width, height) dimensions, frequently used in detection models like ...
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72 views

Best practices to image annotation for object detection when objects overlap

If I have the following example: How should I annotate the bottom image? I can think of those scenarios: Create a large box that captures class B and a second box that captures entirely class A. ...
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21 views

Pre trained vehicle detection from low altitude view

I have a very noob question. I need some solution to detect all vehicles in the video (or at least in the image). I have tried YOLOv3, however, it cannot recognize cars from the top (like that in the ...
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130 views

Preprocess problem Faster RCNN in tensorflow object detection API

I've wrapped meta-architecture with the code below: ...
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32 views

Resize image in object detection task of computer vision

In object detection, they usually resize by keeping the ratio the same as the original image, which usually names "letterbox" resize. My question is: Why do we need to do that? As I see ...
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17 views

Detection of a very large object (vehicle) in a single static camera

I'm trying to make a deep learning model for an automated detection and classification of vehicles (i.e cars, bus, trucks, etc) in a paid parking lot, but since the cameras are too up close for a ...
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1answer
63 views

Training Object Detection model on just 10 images

I am trying to train an object detection model using Mask-RCNN with Resnet50 as backbone. I am using the pre-trained models from PyTorch's Torchvision library. I have only 10 images that I can use to ...
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205 views

Calculate the number of TP, FP, FN for the object detection task with many classes

I am trying to count the number of True Positives (TP), False Positives (FP), and False Negatives (FN) for object detection task with two classes. I assumed that: TP - is the detection with ...
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24 views

Best object detection model where inference speed is not a factor?

As in the question I’m wondering what is the current best model for object detection in images where inference time doesn’t matter? Thank you in advance.
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1answer
50 views

Is it ok to use photo collages as dataset instead of single images for training the object detection ssd model?

Is it normal/better to use photo collages (multiple photos in one image) as a dataset instead of single images for training the object detection SSD model? I am using Tensorflow Object Detection API ...
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104 views

How to generate custom image dataset for object-detection?

I have to build a custom logo detector from e-commerce images. I am aware of object detection techniques like YOLO, SSD etc and could find many resources on how to annotate a custom object detection ...
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39 views

RCNN Training Output/Target values

I am new to object detection, I read the blogs for R-CNN, It is understandable. Pass the image to the selective search, It will output different proposals. Resize all the proposals into a fixed size. ...
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1answer
63 views

Average Precision if Target Class is Not in Evaluation

Suppose I have 5 classes, denoted by 1, 2, 3, 4, and 5, and this is used in object detection. When evaluating an object detection performance, suppose I have classes 1, 2, and 3 present, but classes 4 ...
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1answer
246 views

Understanding 'scale_boxes' in YOLO Algorithm of CNN

I'm studying Andrew NG's Convolutional Neural Networks and am in Week 3 of the course which deals with object detection using YOLO algorithm . I don't understand one section in the programming ...
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33 views

A pretrained model for mathematical equations characters detection

I am working on a project to convert equations to LaTeX code. After segmenting out the characters, I got stuck on the detection part and was looking for some pre-trained model that could detect ...
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123 views

How to interpret hard negative mining curves while training a deep object detector?

I am training a single shot detector (SSD) in tensorflow object detection API. After having read the paper and some articles online, I understood that hard negative mining trains the network on 'hard ...
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28 views

Possible?: Split pdf file on pages where object detection algorithm finds custom object

I have scanned documents in large pdf files consisting of many individual documents. Each document begins with a exhibit number sticker, much like this one: example. The files are scanned in greyscale....
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130 views

What is the difference between proposal-based approach and proposal-free approach?

From here it says that Techniques to solve instance segmentation can be roughly grouped into two categories: proposal-based methods and proposal-free methods. In proposal-based methods, a set of ...
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503 views

How can I calculate the F1 score using Mask RCNN?

I customized the "https://github.com/matterport/Mask_RCNN.git" repository to train with my own data set, for object detection, ignoring the mask segmentation part. Now I am evaluating my results, I ...
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66 views

What to do when there is more than one object in a cell in Yolo v1

I'm trying to implement Yolo v1 and I'm kinda stuck with its loss function. I understand the need of multiple bounding boxes per cell although only one object is detected per cell. Each bounding box ...
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1answer
175 views

YOLO Dense Prediction

I have two questions about dense prediction in YOLOv4 paper What does it mean by the (hard negative, online hard) example mining method is not applicable to one-stage object detector, because this ...
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80 views

Detect the presence/absense of simple components from a circuit board using object detection

In this case I have a challenge of inspecting a recently mounted product, using computer vision, to detect the absence of any component that I have to check. For this task, I tried the concept of ...
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441 views

Calculating the F score of Object Detection of Mask RCNN

I am using Detectron2 Mask RCNN for an object detection problem. The images consist of cells that are very close to each other. I can not use mAP as a performance measure since the annotations are a ...
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1answer
105 views

Is there any paper of object detection that detect not trained class or object?

After reading some object detection papers (kinds of R-CNN, YOLO,...) I'm wondering if there is a detector that detects objects ...
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26 views

Feature selection and Model structure for object detection in TensorFlow

So I'm making a TensorFlow model to detect an enemy player on screen (if present) and return me its position. I'm using transfer learning with some fine tuning because it's much faster than training ...
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17 views

How can I detect the frame from video streaming that contains the clearest shot of a graffiti on city walls?

I am working on a graffiti detection project. I need to analyze data stream from a camera mounted sideways on a vehicle to identify graffiti on city walls and notify authorities with the single best ...
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14 views

Is it possible to train a model on a more complicated data set and then retrain on a simpler dataset that has continuous frames for LSTM model?

I'm attempting to do lane detection using CNN-LSTM architectures on the TuSimple dataset. However the TuSimple data set isn't very difficult and the results are sometimes poor (visually). I want to ...
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2answers
131 views

What is Image Annotation?

Why do we need to use Labelimg tool for object detection? After labeling the bunch of training images using labelimg tool which will give CSV file How that CSV file works with TensorFlow object ...
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36 views

What is mAP in object detection?

I have been reading through this blog in order to find what mAP is .In the sub heading of AP, they give the example of 5 apple images and finding out the average precision.As far I understand false ...
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1answer
70 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, the background does not change much (I have only 5 ...
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42 views

Extracting information from table within invoices

I am trying to find specific information from supplier invoices using ML. Now, I have a lot of invoices I can use for test (+100k). I figure the first step is to label them, so I can train a model to ...
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1answer
823 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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34 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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48 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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229 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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9 views

detect diagram region in research papers

How can I detect diagram region and extract it from a research paper
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17 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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33 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
445 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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484 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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24 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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65 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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104 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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106 views

Understanding Faster R-CNN

I'm having some trouble understanding the way the Faster R-CNN algorithm works. Specifically, the way the authors describe the concept of anchors. In their paper from here they describe anchors in ...
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51 views

Is there a metric for counting AND classification simultaneously?

I'm working on a project that mixes object detection and crowd counting. The metric for object detection is mAP, which combines the regression of the bounding boxes with the precision of the ...
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100 views

Should images with multiple objects of the same class be used as training sample for multi-classes object detection models?

Let's say the model try to detect all the grapes on a branch of grapes. Can I use images of a grape branch with all the grapes labeled as a training sample? Will it affect the quality of the RPN ? Is ...