Newest 'datasets' Questions

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Where can I upload a large photo database for public access?

I am applying for a grant, and one of the tasks we are seeking funding for is to make a large image database publicly available for users to train artificial intelligence (convolutional neural network)...

asked yesterday

ihb

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EEG and Accelerometer Neural Network

I have frequency EEG data from fall and non-fall events and I am trying to incorporate it with accelerometer data that was collected at the same time. One approach is, of course, to use two separate ...

neural-networks datasets data-preprocessing computational-linguistics

asked 2 days ago

sam

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21 views

How to use Before / After images to train a model

I am trying to create a model that can clean pictures of noise, blur, high luminosity etc, but I do not know how to do that. I have tried to search for it a lot, and I couldn't find anything that ...

deep-learning tensorflow keras datasets image-processing

asked Jan 20 at 1:33

Prototype

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33 views

How can I compare EEG data with accelerometer data in 1 algorithm?

I have frequency EEG data from fall and non-fall events and I am trying to incorporate it with accelerometer data that was collected at the same time. One approach is, of course, to use two separate ...

neural-networks deep-learning comparison datasets computational-linguistics

asked Jan 15 at 23:20

sam

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37 views

Why am I getting low accuracy for my model to generate CAPTCHAs? [closed]

I have a model for solving captcha trained with a dataset but my training images are different and I get bad accuracy for the target data. I am not able to generate captchas in the style of the target ...

convolutional-neural-networks datasets captcha

asked Jan 15 at 15:41

Seyed Moein Ayyoubzadeh

315 bronze badges

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7 views

Hashing images detects false duplicates

Like I said in the title, I used a code I found to identify duplicate images however there are many false alarms. Can someone give me a link to some code I could use that really works? The problem ...

datasets data-preprocessing

asked Jan 15 at 12:53

bookfreak

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49 views

Suggestion for finding the stable regions in spiral galaxy data?

I am working with a data set that consists of the actual pitch angle (given as PA(Y)) and the pitch angle at each radii (listed from 1 to 217). In the image below, ...

machine-learning convolutional-neural-networks classification datasets data-preprocessing

asked Jan 13 at 19:53

user12149354

212 bronze badges

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votes

3answers

51 views

How to correctly label images for multi-label classification?

I have images that contain lots of elements. Some I know, some I don't. I want to know if it's ok to only label those I do know. Let's take this image for example. I would label the green stuff and ...

classification datasets

asked Jan 11 at 9:10

bookfreak

415 bronze badges

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vote

1answer

9 views

Ambulance dataset needed

Could I get a dataset that can classify ambulances? I have searched everywhere, but, couldn't seem to get hold of a set of annotated images for ambulances.

datasets

asked Dec 27 '19 at 9:24

CATALUNA84

416 bronze badges

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24 views

Should I add some noise when the dataset is small?

I want to create a small dataset (about 10 classes and 20-30 images each), should I add some noise (wrong label sample) in the training, validation and test datasets, and why?

datasets

asked Dec 26 '19 at 11:29

user32320

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36 views

Is there an audio dataset with the corresponding phonemes in the audio?

I am looking for a dataset of clear audio, a corresponding transcript (optional), and most importantly a list of all the phonemes said in the audio, with the length of each phoneme and a mention of ...

neural-networks machine-learning convolutional-neural-networks tensorflow datasets

asked Dec 5 '19 at 22:08

Hozaifa Bhutta

579 bronze badges

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vote

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24 views

Are there free and easy-to-use annotation tools for 3D bounding boxes?

Are there free and easy-to-use annotation tools for 3D bounding boxes? There is a lot of annotation tools out there, but most of them only good for 2d boxes.

computer-vision datasets resource-request data-preprocessing

asked Dec 4 '19 at 13:51

ron653

637 bronze badges

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votes

1answer

27 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 ...

machine-learning datasets object-recognition object-detection

asked Dec 4 '19 at 12:53

akano1

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46 views

Drug Review dataset - approach [closed]

I am trying to experiment using the Drug Review open dataset https://archive.ics.uci.edu/ml/datasets/Drug+Review+Dataset+%28Drugs.com%29 I need to answer questions from a domain perspective, such ...

machine-learning datasets data-science data-mining

asked Dec 3 '19 at 4:33

DaveM

191 bronze badge

2

votes

0answers

58 views

How can I train YOLO with the COCO dataset?

I am trying to implement the original YOLO architecture for object detection, but I am using the COCO dataset. However, I am a bit confused about the image sizes of COCO. The original YOLO was trained ...

neural-networks convolutional-neural-networks datasets object-detection pytorch

asked Nov 30 '19 at 21:38

depressedminkycoder

211 bronze badge

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vote

0answers

43 views

How many training data required for GAN?

I'm beginning to study and implement GAN to generate more dataset. I'll just try to experiment with state-of-the-art GAN models as described in here https://paperswithcode.com/sota/image-generation-on-...

convolutional-neural-networks computer-vision datasets generative-adversarial-networks

asked Nov 28 '19 at 8:10

gameon67

1657 bronze badges

2

votes

0answers

29 views

Are there any easy ways to create annotated training images for object detection?

For the purposes of object detection, are there any easy ways to create annotated training images? For example, if we have $10,000$ images and want to draw bounding boxes on 2 objects for each image, ...

machine-learning convolutional-neural-networks datasets object-detection

asked Nov 23 '19 at 14:22

James

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vote

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15 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. ...

datasets object-recognition object-detection transfer-learning data-preprocessing

asked Nov 22 '19 at 10:26

SumakuTension

1014 bronze badges

2

votes

1answer

25 views

What does top N accuracy mean?

Places205-VGG, a CNN trained model for 205 scene categories of Places Database with 2.5 million images Places205 dataset has ...

deep-learning datasets scene-classification accuracy

asked Nov 19 '19 at 18:33

Färid Alijani

454 bronze badges

3

votes

1answer

50 views

How could decision tree learning algorithms cope with imbalanced classes?

Decision trees and random forests may or not be more suited to solve supervised learning problems with imbalanced labels (or classes) in datasets. For example, see the article Using Random Forest to ...

machine-learning datasets supervised-learning decision-tree random-forest

asked Nov 18 '19 at 15:37

jennifer ruurs

5096 bronze badges

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0answers

45 views

Focal loss for imbalanced multi class classification in Pytorch

I want an example code for Focal loss in PyTorch for a model with three class prediction. My model outputs 3 probabilities. ...

classification datasets pytorch data-preprocessing text-classification

asked Nov 17 '19 at 12:04

Bot_Start

113 bronze badges

1

vote

1answer

29 views

If an image contains two distinct objects, should I create a copy of this image with distinct labels for each copy?

Suppose we want to detect whether an object is one of the following classes: $\text{Object}_1, \text{Object}_2, \text{Object}_3$ and $\text{Person}$. Should the annotated images only contain bounding ...

computer-vision datasets object-detection

asked Nov 15 '19 at 12:37

PrimeNumber

654 bronze badges

1

vote

1answer

44 views

How can I merge two datasets? [closed]

I want to merge 2 data sets in one, but don't know the right approach to do it. The datasets are similar, the last column is the same - will or not them buy a product. In the first dataset, users who ...

datasets data-preprocessing

asked Nov 15 '19 at 11:47

干猕猴桃

133 bronze badges

2

votes

3answers

65 views

In adversarial machine learning, how does an attacker have access to the test and training dataset in order to poison it?

In the field of adversarial machine learning, machine learning models are vulnerable to attacks both on the test and training data set. However, how does the attacker get access to these datasets? How ...

machine-learning reinforcement-learning training datasets adversarial-ml

asked Nov 13 '19 at 6:26

boomselector

853 bronze badges

2

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0answers

69 views

Is there a dataset for the detection of bomb explosions?

I would like to train a deep neural network to recognize bomb explosions. I was wondering if there is an open visual dataset for bomb explosion? Alternatively, if you know a good deep architecture or ...

deep-learning computer-vision datasets object-recognition resource-request

asked Nov 11 '19 at 22:47

Tina J

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0answers

36 views

creating your own dataset similar to cityscapes format

I'm trying to train a neural network with my own dataset. The neural network can accept the cityscape format. Is there any application that can give mask/segmented image, instance image, label IDs ...

training datasets image-segmentation

asked Nov 7 '19 at 20:49

Troy

733 bronze badges

2

votes

1answer

48 views

Do models train better if the dataset is more specific? (Semantic Segmentation / Bounding Box / Image classification)

I'm working on a project where there is a limited dataset of videos (about 200). We want to train a model that can detect a single class in the videos. That class can be of multiple different types ...

convolutional-neural-networks image-recognition datasets image-segmentation

asked Nov 4 '19 at 17:39

NateW

1014 bronze badges

1

vote

2answers

44 views

TensorFlow 2.0 - Normalizing input to DNN (on structured data)

I have a structured dataset of around 100 gigs, and I am using DNN for classification in TF 2.0. Because of this huge dataset, I cannot load entire data in memory for training. So, I'll be reading ...

neural-networks deep-learning tensorflow datasets

asked Nov 3 '19 at 7:33

thisisbhavin

111 bronze badge

1

vote

1answer

33 views

Dataset for floating objects detection

I am looking for dataset that which one I could train model to detect people / boats / surfboards etc. from drone view. Have anyone saw dataset that could be useful for this purpose? I have some ...

deep-learning datasets

asked Nov 2 '19 at 17:05

Andropogon

1316 bronze badges

1

vote

0answers

16 views

Colour palettes for COCO dataset

Is there any link or explanation on how to create Color palettes for coco dataset for segmentation. I see there is a link for cityscapes dataset https://gluon-cv.mxnet.io/_modules/gluoncv/utils/viz/...

deep-learning datasets inference

asked Oct 31 '19 at 1:57

Troy

733 bronze badges

2

votes

0answers

10 views

How to learn using DDPG in python solely using a timeseries datasets

I have a lengthy timeseries datasets which contains several variables (from sensors etc) to be classified as actions or states. Providing they are successfully done, I want to learn a control policy ...

reinforcement-learning python datasets control-problem ddpg

asked Oct 30 '19 at 6:32

JianNius

314 bronze badges

3

votes

0answers

53 views

Are there datasets to solve differential equations in a supervised fashion?

Are there datasets to solve differential equations in a supervised fashion? More precisely, the input is a differential equation and the label should be the general solution to that differential ...

neural-networks machine-learning datasets resource-request

asked Oct 5 '19 at 19:55

rert588

1312 bronze badges

3

votes

0answers

33 views

Is there a database of images of entire people bodies?

I wonder if anyone knows a database (preferably free) of images of different classes of people (age, gender) but with entire bodies shown on the pictures taken from different angles (mostly front and ...

image-recognition datasets

asked Oct 1 '19 at 9:15

Makintosz

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0

votes

0answers

17 views

What is best dataset for person reidentification?

There are many datasets for person reidentification. I want to train a robust person re-identification neural network. Therefore I want to ask about best person re-identification dataset.

deep-learning computer-vision datasets

asked Sep 25 '19 at 15:44

Farhad Bat

958 bronze badges

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0answers

11 views

what is the best dataset (or combination of datasets) for training a person detector?

I want to train a person detector for MOTChallenge dataset, but I want to avoid using the dataset as training set for my detector. Therefore, I want to use another dataset or combination of several ...

deep-learning computer-vision datasets object-detection

asked Sep 22 '19 at 7:45

Farhad Bat

958 bronze badges

0

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0answers

10 views

How much data is needed to train a deep learning model to detect instance masks?

I am trying to get an idea of how much data is needed to train a deep convolutional neural network to detect instance masks from images. I am interested in both papers that have been written on the ...

convolutional-neural-networks computer-vision datasets efficiency image-segmentation

asked Sep 16 '19 at 17:10

Alex Mussell

1

vote

1answer

158 views

Indian Traffic Sign Dataset

I am looking for the Indian Dataset of traffic signs. There is a dataset developed recently IDD: A Dataset for Exploring Problems of Autonomous Navigation in Unconstrained Environments which contains ...

classification datasets

asked Sep 12 '19 at 6:43

Himank Kansal

112 bronze badges

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0answers

11 views

Is there any reason to believe a ml pipeline that works on dataset A will work on dataset B where both have similar meta features?

I’m working on generating an automl pipeline(a combination of data cleaning and transformation algorithms applied to a dataset then generate a model) that works on a new dataset by looking for past ...

neural-networks machine-learning deep-learning datasets data-preprocessing

asked Sep 9 '19 at 22:03

Dylan Y

3457 bronze badges

2

votes

1answer

31 views

Is it compulsary to normalize the dataset if doing so can negatively impact a Binary Logistic regression performance?

I am using raw data set with 4 feature variables (Total Cholesterol, Systolic Blood Pressure, Diastolic Blood Pressure, and Cigraeette count) to do a Binominal Classification (find stroke likelihood) ...

machine-learning datasets logistic-regression batch-normalization scikit-learn

asked Sep 9 '19 at 14:18

a_new_moody

413 bronze badges

0

votes

1answer

48 views

Generate credit cards dataset for locating number region

Currently I'm working on a project for scanning credit card and text extraction from cards. So first of all I decided to preprocess my images with some filters like thresholding, dilation and some ...

neural-networks convolutional-neural-networks tensorflow datasets ocr

asked Sep 9 '19 at 10:01

Shayan Tabatabaee

1033 bronze badges

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vote

1answer

19 views

Train on big dataset (1mil + images)

I am in the process of collecting a huge dataset of Human poses captured images to create a model to classify poses. My question is how will I be able to train on this massive dataset? I have ...

machine-learning training datasets

asked Aug 21 '19 at 6:58

Gaurav Gandhi

1113 bronze badges

1

vote

0answers

8 views

Mobile App Recommendation: How to get the rate of a specific user submit for a specific application

I have a mobile app recommendation project, so I need data set which has user-app matrix-rate. Actually, I want to know what rate does a specific user submit for a specific application. in other words,...

machine-learning datasets recommender-system

asked Aug 18 '19 at 11:39

F.Nikzad

111 bronze badge

1

vote

0answers

20 views

Train detector : 300 images with 30 objects or 9000 images with one?

so I have this dataset of images of people sitting in a restaurant. I've annotated about 300 images with an average of 30 instances of "person" per image. Now I'm wondering if I should have annotated ...

training datasets

asked Aug 2 '19 at 10:19

baramuse

1111 bronze badge

2

votes

0answers

21 views

Can I use self-driving car's data set for left-hand drive cars which drive on the right lane for right-hand cars which drive on the left lane?

Can I use self-driving car's data set for left-hand drive cars which drive on the right lane for right-hand self-driving cars which drive on the left lane?

datasets autonomous-vehicles

asked Jul 29 '19 at 14:23

Mduduzi

211 bronze badge

1

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0answers

62 views

What can be inferred about the training data from a trained neural network?

Suppose we trained a neural network on some training set that we call $X$. Given the neural network and the method of training(algorithm, hyperparameters etc.) can we infer anything about $X$. Now, ...

neural-networks machine-learning datasets

asked Jul 15 '19 at 15:18

Dilitante

1112 bronze badges

3

votes

1answer

51 views

Examples of time-varying graph-structured data in real world

I'm looking for examples of time-varying graph-structured data for time-varying graph CNNs. First, I came up with the idea of infection network. Is there anything more? If possible, I want data that ...

machine-learning convolutional-neural-networks datasets geometric-deep-learning

asked Jul 1 '19 at 14:35

unsmoother

1295 bronze badges

2

votes

1answer

46 views

How do I know if my dataset is ready for a machine learning model?

I am new in this area of Machine Learning and Neural Networks. Currently, I'm taking some courses on Udemy and reading a book about it, but I still have one big question regarding data pre-processing. ...

neural-networks machine-learning datasets data-science data-mining

asked Jun 27 '19 at 0:03

Pedro de Sá

1233 bronze badges

0

votes

1answer

36 views

Decide Number of input Parameters and Output Parameters - ANN

I have to create a Neural Network for regression purpose. Basically, I created a Model which predict next 5 values when we give past 6 values. I want to make a change in this neural network. For ...

neural-networks datasets artificial-neuron regression

asked Jun 21 '19 at 7:18

Majo_Jose

1558 bronze badges

2

votes

0answers

60 views

How to choose our data set wisely?

I have a couple of questions and I was wondering if you could answer them. I have a bunch of images of the cars, side view only. I want to train the model with those images. My objects of interest ...

classification datasets object-detection

asked Jun 18 '19 at 10:20

programmer

1212 bronze badges

1

vote

1answer

26 views

Further Normalization of Standardized data - ANN

I want to develop a regression model using the artificial neural network. For developing such a model I use standardised ( z-score normalised ) data. given below is the sample data set. Here MAX is ...

neural-networks datasets deep-network

asked Jun 17 '19 at 5:39

Majo_Jose

1558 bronze badges

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