Stack Exchange Network

Stack Exchange network consists of 174 Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers.

Visit Stack Exchange

Questions tagged [object-recognition]

For questions about algorithms recognizing individual objects represented by any/all of their physical characteristics.

0
votes
0answers
15 views

Smart, energy efficient refrigerator design?

Opportunities For Creative Minds Do any members of this AI StackExchange have any new and creative design ideas about how to use existing AI technology to make any of the below refrigerator features ...
4
votes
1answer
27 views

What are the ways to calculate the error rate of a deep Convolutional Neural Network, when the network produces different results using the same data?

I am new to the object recognition community. Here I am asking about the broadly accepted ways to calculate the error rate of a deep CNN when the network produces different results using the same data....
0
votes
1answer
27 views

Keywords to describe people counting from a camera?

The subject matter is to count the number of people in a large room, wherein a camera is placed in a very high ceiling: an example would be Grand Central Station. Faces are not visible: the scalp (...
0
votes
1answer
15 views

Add training data to YOLO post-training

(Cross-posting here from the data science stack exchange, as my question didn't get any replies. I hope it's okay!) I've been playing around with YOLOv3 and obtaining some good results on the ~20 ...
0
votes
0answers
24 views

Software for Video Labeling

Does anyone know a good software for labeling object directly from videos and obtain bounding boxes as Pascal voc or TF record format? It should for be for mac users.
5
votes
2answers
108 views

Can one use an Artificial Neural Network to determine the size of an object in a photograph?

My question relates to but doesn't duplicate a question that has been asked here. I've Googled a lot for an answer to the question: Can you find the dimensions of an object in a photo if you don't ...
-1
votes
1answer
40 views

Simple Object Detection

I want to create a simple Object detection tool. So basically an Image will be provided to the tool and from that, it has to detect the number of objects. For eg An image of a dining table which ...
3
votes
1answer
54 views

Alternative to sliding window neural network (was: Object detect (or) image classification at specific locations in the frame)

Recent advances in Deeplearning and dedicated hardware has made it possible to detect images with a much better accuracy than ever. Neural networks are the gold standard for computer vision ...
1
vote
0answers
24 views

YOLO - How much is the position of the object relevant in learning?

I have the following question about You Only Look Once (YOLO) algorithm, for object recognition in CNNs. I have to develop a neural network to recognize web components in web applications - for ...
1
vote
0answers
26 views

How does the target output of a Single Shot Detector (SSD) look like?

According to the paper SSD: Single Shot MultiBox Detector, for each cell in a feature map k boxes are acquired and for each box we get $c$ class scores and $4$ offsets relative to the original default ...
4
votes
1answer
169 views

Training a CNN from scratch over COCO dataset

I am using Tensorflow Object Detection API for training a CNN from scratch on COCO dataset. I need to use this specific configuration. There is no pre-trained model on COCO with that configuration and ...
0
votes
1answer
21 views

How to label “other” while labeling image for object detection/classification?

I want to train a model to recognize different category of food (example: rice, burger, apple, pizza, orange,... ) After the first training, I realized that the model is detecting other object as ...
1
vote
1answer
115 views

How to label training data for YOLO

I am having a question on how to label training data for YOLO algorithm. Let's say that each label Y, we need to specify [Pc, bx, by, bh, bw], where Pc is the indicator for presence(1=present, 0=not ...
2
votes
1answer
235 views

Regarding Yolo and Keras

I'm trying to implement YOLO (tiny version, v1) into Keras framework. For the past two days, I've been relentlessly digging through Github and the likes in order to ...
1
vote
0answers
73 views

Object recognition by two or more traits that are orthogonal (informally speaking)

I would really appreciate if someone could comment the following method of training neural nets providing them with some meta data (Making them more color prone only if needed, whereas now they're ...
5
votes
2answers
56 views

Can translational invariance of CNNs be unwanted if object is likely in certain positions?

Various texts on using CNNs for object detection in images talk about how their translation invariance is a good thing. Which makes sense for tasks where the object could be anywhere in the image. Let'...
2
votes
0answers
171 views

Getting worse performance when training a pre-trained model with the existing class

I am training pre-trained SSD-InceptionV2-Coco to detect the "car", which is one of the classes in mscoco label. I train the model with ~50k sample from KITTI, 500k iteration with batch size 2. I ...
0
votes
0answers
15 views

finding small objects in a large image: seeking architecture recommendation

I have many (~300000) 1200x800 grayscale images each containing a variable number (5-50) of features of size ranging from 15x15 to 25x25 pixels. I would like to fit bounding boxes to these features, ...
1
vote
0answers
22 views

FIlling space with empty bounding box

I'm detecting objects on images. I want to detect up to 10 objects, however, I'm not sure how to deal with the situation, where only one object is present. Should I fill the remaining spaces in the ...
6
votes
1answer
267 views

Understanding the loss function of You Only Look Once(YOLO) network

I'm trying to implement a custom version of YOLO neural network. Originally it was described in this paper. I have some problems understanding the loss function they used. Basic information: An ...
1
vote
0answers
50 views

Binary score in RPN (Faster-RCNN)

The region proposal network (RPN) in Faster-RCNN models contains a classifier and a regressor network. Why does the classifier network output two scores (object and background) for each anchor instead ...
0
votes
2answers
51 views

Is understanding value for different features next step for object recognition?

Once the artificially intelligent machines are able to identify objects, we might want to teach them how to value different things differently based on their utility, demand, life, etc. How can we ...
1
vote
0answers
129 views

Transfer learning from model trained in a similar dataset

I am currently working on a defect detection algorithm but I only have a few samples of defects.I googled for defect detection datasets and I found this one: http://resources.mpi-inf.mpg.de/...
2
votes
0answers
55 views

Extracting specific features using HOG

I am using HOG (Histogram of Oriented Gradients) for car detection from a video. I have used the Matlab function extractHOGFeatures() , it has given me a feature ...
1
vote
0answers
511 views

Object detection in video

I have a video which is capture from a moving car and video showing plenty of details like pools, human, cars/buses, roads, etc, etc. The video I am playing in unity3d and camera Showing that video ...
2
votes
1answer
62 views

Tracking object

At this moment, I am able to use NN to identify object such as human when given a frame from the camera. Once locate the object, then I can feed the human object image to either NN that's designed to ...
3
votes
1answer
185 views

What is the difference between 'Pixel' based object recognition and 'Feature' based object recognition?

From my understanding and text I found in research papers online : 1) Pixel based object recognition: Neural networks are trained to locate individual objects based directly on pixel data. 2) ...
2
votes
1answer
86 views

Object detection doubt

I asked this question on /r/learnmachinelearning, but there was no answer so I'm reposting it here. I was reading this article on detecting rectangles in an image, here. My doubt is in the part where ...
3
votes
1answer
504 views

How to detect the empty parking spots?

I have some images of the empty parking as shown below. I 'd like to use deep learning to extract the parking spots. But in the beginning,am confused whether there are several ways to do the ...
6
votes
1answer
425 views

Precise localization and characterization of rudimentary shapes with neural networks

I understand that there are flavors of (convolutional) neural networks that are useful for object localization and detection tasks of reasonable difficulty. In all of the examples I have seen so far, ...
3
votes
1answer
2k views

Identifying cars using deep learning

I would like to use deep leaning for identifying cars; I want the system to predict wether an object is a car or not. How can I do that knowing that im still a beginner in the Deep Learning field ? I ...
0
votes
3answers
2k views

SSD or YOLO on arm

Is it possible to run SSD or YOLO object detection on raspberry pi 3 for live object detection (2/4frames x second)? I've tried this SSD implementation but it takes 14 s per frame. Is there anything I ...
2
votes
3answers
103 views

What would the commercial application of a conscious AI look like/be?

Sometimes, but not always in the commercialization of technology, there are some low hanging fruits or early applications, I am having trouble coming up with examples of such applications as they ...
3
votes
1answer
142 views

What are some techniques/method that can be used to train and detect objects like cars and humans?

I have used OpenCV to train Haar cascades to detect face and other patterns. However I later realized that Haar tends to give a lot of false positives and I learned of Hog would give a more accurate ...
17
votes
1answer
442 views

Would Google's self-driving-car stop when it sees somebody with a T-shirt with a stop sign printed on it?

In Hidden Obstacles for Google’s Self-Driving Cars article we can read that: Google’s cars can detect and respond to stop signs that aren’t on its map, a feature that was introduced to deal with ...
2
votes
1answer
307 views

How does Google's self-driving car identify pedestrians?

Based on this article, Google's self-driving cars can spot cyclists, cars, road signs, markings, traffic lights, and pedestrians. How exactly does it identify pedestrians? Is it based on face ...