Questions tagged [object-recognition]

For questions related to object recognition, which is the problem of determining the type/class/category of an object in the image, so object recognition could also be called object classification. This is different from object detection, which is either used to refer to object localization (i.e. find the coordinates of the object in the image) + object classification, or just object localization.

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Object detection with deep learning

I am getting familiar with video detection/tracking using neural networks. Specifically, I am referring to algorithms that take in input an image or a sequence of images and, for each frame, it ...
user1135371's user avatar
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Using computer vision to comprehend Piping and Instrumentation Diagrams

I'm wondering how to approach this problem. I want to create an excel document (or just a dictionary) where each instrument (circle objects FV 1031, for example) is associated with a line number (for ...
Daniel Caoili's user avatar
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Cannot find appropriate model to classify hidden states

My input data is vector representing encoded image - 22 features, and I try to classify by 3 classes 0, 1, 2 (neutral, good, bad) Original: ...
Max Usanin's user avatar
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10 views

Training ImageNet on Resnet - Dropping LR has little improvement on accuracy

I'm trying to train Resnet50 on Imagenet following this paper [1] as well as this one[2]. They say that at approximately every 30 epochs, I should drop the learning rate by 10. Since I'm training on 8 ...
Liam F-A's user avatar
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What AI do I need for pizza delivery system? [closed]

For example I want to have a chat bot for pizza ordering. So far I assume that I need (I'm not sure): Context Question Answering (questions about menu, pizzas) Entity Recognition (ordering some pizza)...
Xeo's user avatar
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Recognize Logos and their Sources

I am working on a problem where I have to recognize logos and also output about the logo placement (logo source). I have attached an image below for visuals, if any of the logos on the below image is ...
HKay's user avatar
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1 answer
308 views

How can I limit the number of things Yolov7 can Identify?

So Yolov7/v8 are able to classify numerous distinct objects. One of those objects is cups for example. If I wanted to only look of cups how would I change my setup without having to do custom object ...
Drew Patton's user avatar
1 vote
1 answer
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NN Architecture for the detection of "sparse" Objects

I have a document digitalization task where I want to detect technical drawings from images. These Images mostly consist of objects made up of combination of shapes like lines, circles and rectangles. ...
Julian's user avatar
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404 views

YOLOv7 fine tuning with unbalanced dataset

I have a question about training object detection models especially using the YOLOv7 algorithm. I use a Soccer Players Dataset from the Roboflow. The dataset is very unbalanced. I trained the model ...
ofevy's user avatar
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1 vote
0 answers
25 views

Object recognition based on its movement [closed]

Models like YOLO, Detectron2, etc. classify objects based on their appearance. This is great when we have single images, and we want to classify objects within those images. However, video contains a ...
pookie's user avatar
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Can NotA (none of the above) class be combined with object detection / segmentation models?

So there's this way of classifying an object as NotA (none of the above) class as described in https://arxiv.org/abs/1910.02830 So mostly this uses a sort of confidence thresholding with different ...
MachineLearner's user avatar
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Mapping an image to a well defined object using OpenCV

I am completely new to computer vision and I am working on a small hobby project. The goal is to use camera footage of a foosball table to map the image to already well defined object geometry with ...
apriede's user avatar
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82 views

What is single object localization?

Object detection is said to be combination of object localization and image classification. However, when reviewing localization, I often come across the term "single-object" localization, ...
akastack's user avatar
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1 answer
71 views

Is there a way to improve the low-quality data?

I'm on a robotics team and we've been tasked to write a program to differentiate between a live and dead fish. We've been given ~15 minutes of training footage and it's absolutely terrible. It's low ...
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2 answers
749 views

For an image (of any object), how to find its location in the other image(s) which contains it, given there are no labels or annotations for any image

Problem Statement: I am given 2 sets of images. All the images in both sets are without annotations and labels. First set : a set of images of the grocery store shelves (captured in the grocery stores)...
Aarush Aggarwal's user avatar
1 vote
1 answer
799 views

How does the classification head of EfficientDet work?

EfficientDet outputs classes and bounding boxes. My question is about both but specifically I am interested in the class prediction net part. In the paper's diagram it shows 2 conv layers. I don't ...
ML Dev's user avatar
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1 answer
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Multiple labels for the same rectbox?

My goal is to identify the horse in a photo. I'm dealing with about 500 unique horses. My feeling is that the best way to distinguish one horse from another is by its face. So I trained Yolov5 ...
GoldenNewby's user avatar
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42 views

In anchor based object detection, why don't the anchors share the same weights?

After reading about YOLO V3 and Faster R-CNN, I don't understand why the weights for the regression head aren't the same across all boxes of the same size. Given that the backbone of these systems is ...
FourierFlux's user avatar
5 votes
1 answer
425 views

Why object detection algorithms are poor in optical character recognition?

OCR is still a very hard problem. We don't have universal powerful solutions. We use the CTC loss function An Intuitive Explanation of Connectionist Temporal Classification | Towards Data Science ...
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2 votes
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38 views

How can I train a model to recognize object with zoomed-in image?

Humans are good at guessing animals with zoomed-in images from patterns of fur/skin. (For example, if we saw a black-white pattern fur, it must be a zebra) I have some experience guessing a car model ...
George Zheng's user avatar
3 votes
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63 views

How are Ground truth provided to each Pyramid map in RetinaNet or YOLOv3 Paper? How is the mapping of Feature Pyramids done to Ground Truth

SO the YOLO V3 and RetinaNet both uses the Feature pyramids which look something like this: (except b and e which have one ...
Deshwal's user avatar
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Can object detection approaches be used to solve text/detection problems?

I have been working on text detection and recognition for almost two months and new on this field. So far, I have fine-tuned, tested, and trained several text detection/recognition methods, such as ...
yakhyo's user avatar
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3 votes
0 answers
291 views

Image classification - Need method to classify "unknown" objects as "trash" (3D objects)

We have an image classifier that was built using CNN with faster R-CNN and Yolov5. It is designated to run on 3D objects. All of those objects have similar "features" structure, but the ...
Stackaloo's user avatar
2 votes
1 answer
3k views

Can the (sparse) categorical cross-entropy be greater than one?

I am using AlexNet CNN to classify my dataset which contains 10 classes and 1000 data for each class, with 60-30-10, splits for train, validation, and test. I used different batch sizes, learning ...
SahaTib's user avatar
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44 views

If random rotations are included in the data augmentation process, how are the new bounding boxes calculated?

When studying bounding box-based detectors, it's not clear to me if data augmentation includes adding random rotations. If random rotations are added, how is the new bounding box calculated?
FourierFlux's user avatar
1 vote
1 answer
93 views

Single-Shot Learning for Object Re-Identification

I am looking for a way to re-identify/classify/recognize x real life objects (x < 50) with a camera. Each object should be presented to the AI only once for learning and there's always only one of ...
sonovice's user avatar
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1 vote
0 answers
130 views

Find object's location in an area using computer vision

I'm trying to see how to detect the location of a soccer ball in the field using the live camera. What are some ways to achieve this? 1- Assuming we have a fixed camera with a wide shot. How to find ...
Tina J's user avatar
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1 vote
2 answers
2k views

Get object's orientation or angle after object detection

I'm trying to get a detected car's orientation when object detection is applied. For instance, when we apply object detection on a car and get a bounding box, is there any ways or methods to calculate ...
Tina J's user avatar
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1 answer
179 views

How can I train a CNN to detect when a person is smoking outside of shop given images from a video camera?

My friend is working at a pizza shop. He takes cigarette breaks in an area that is covered by the public webcam of our town. I now want to train a convolutional neural network to be able to detect ...
Howard's user avatar
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2 votes
0 answers
63 views

Is it ok to perform transfer learning with a base model for face recognition to perform one-shot learning for object classification?

I am trying to create a model that is using a one-shot learning approach for a classification task. We do this because we do not have a lot of data and it also seems like a good way to learn this ...
Maciek Woźniak's user avatar
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1 answer
104 views

Why isn't medical imaging improving faster with AI?

Researcher here. I just read this piece about medical imaging ai with object recognition and it left me wondering why there are still 100,000+ deaths a year in the US due to misdiagnosis - anyone out ...
Very AI 's user avatar
1 vote
0 answers
1k views

Can I resize my images after labeling them?

Is it okay if I label my images with their original size and then resize them, or should I first resize them and then label them? I mean do I need to recalibrate my labels if I resized my images?
Ali Khalili's user avatar
1 vote
1 answer
106 views

How to quickly change hand-drawn shapes to symmetrical polished shapes?

Given a hand-drawn shape, I'd like to generate the corresponding symmetrical polished shapes such as circle, rectangle, triangle, trapezoid, square, parallelogram, etc. A short video demonstration ...
JammingThebBits's user avatar
3 votes
0 answers
46 views

Video recognition (specifically video, not individual frames)

There are libraries for recognizing individual video frames, but I need to recognize an object in motion. I can recognize a person in every single frame, but I need to know if the person is running or ...
Ruslan Ablyazov's user avatar
2 votes
0 answers
40 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 ...
Tina J's user avatar
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2 votes
2 answers
2k views

Is the choice of the optimiser relevant when doing object detection?

Suppose that we have 4 types of dogs that we want to detect (Golden Retriever, Black Labrador, Cocker Spaniel, and Pit Bull). The training data consists of png images of a data set of dogs along with ...
neeraj's user avatar
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1 vote
2 answers
467 views

What is the best way to detect and recognize traffic signs in a picture?

I'm working on a project for my college to recognize traffic signs in pictures. 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 ...
all_alone's user avatar
2 votes
1 answer
51 views

Recognize carp and give them a unique id

For my internship assignment I have to implement a proof of concept for an application that is supposed to scan a picture with a carp on it and identify which carp this is. All of the carps that are ...
Jesper V's user avatar
2 votes
3 answers
5k views

Small size datasets for object detection, segmentation and localization [closed]

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 ...
0xPrateek's user avatar
0 votes
1 answer
96 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 ...
Guessguy112233's user avatar
2 votes
0 answers
44 views

YOLO 9000 about Better Stronger

In this paper, YOLO has three features compared to YOLO v1. This question is about Better and Faster. In the Better section, there are many techniques such as Batch Norm, Anchor Box and so on. In the ...
musako's user avatar
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1 vote
0 answers
348 views

How can I recognise the name of a molecule given an image of its structure?

I want to recognize the name of the chemical structure from the image of the chemical structure. For example, in the image below, it is a benzene structure, and I want to recognize that it is benzene ...
Lalit Vyas's user avatar
2 votes
0 answers
48 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 ...
Michael Heidelberg's user avatar
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1 answer
1k 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 ...
akano1's user avatar
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1 vote
0 answers
23 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. ...
SumakuTension's user avatar
2 votes
1 answer
177 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 ...
MostafaBakr's user avatar
2 votes
1 answer
154 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 ...
MostafaBakr's user avatar
1 vote
1 answer
33 views

Are there deep networks that can differentiate object class from individual object?

We usually categorize objects in a hierarchy of classes. Let us say crow vs bird. In addition, classes can be "messy", for instance a crow can be also a predator, but not all birds are predators. My ...
Wolphram jonny's user avatar
4 votes
1 answer
59 views

Are there methods that allow deep networks to learn object categorization in a self-supervised way?

When training a deep network to learn object classification from a set like ImageNet, we minimize the cross entropy between the ground truth and the predicted categories. This is done in a supervised ...
Wolphram jonny's user avatar
2 votes
1 answer
910 views

Is Mask R-CNN suited to solve a multi-class classification problem where the classes are related?

I want to create a model to solve a multi-class classification problem. Here are more details about my problem. Every picture contains only one object The background is very simple All objects ...
Korosi Gabor's user avatar