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Program great, easy to use. Difficulty processing payment. Had to call/email support to get assistance. That was super frustration when I was ready to finish up.
2018-02-27
overall I like pdffiller, but there are some things I wish I could do, like circle items in word docs. The only circle function I see does not seem to work very well. I would like to be able to draw circles around items more easily. As for signature authentication, is it necessary to include date? It would be easier if the authentication did not include the date. This isn't a big deal, since I can see why the date is necessary... but sometimes I sign a contract on for example, Sept 1st at midnight, but I don't want my clients to know I signed at midnight Sept 1st, particularly if I should have signed the document sooner. Anyway, these are just little issues that I've come across and changes would make my business a bit easier.
2019-01-18
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All-in-one tool that ultimately expedites the process of filling out and scanning forms.
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Nothing in particular; fixed one-time pricing would be preferable over subscriptions though.
What problems are you solving with the product? What benefits have you realized?
Reducing the amount of physical computer hardware in the office (scanners, printers) through the use of software such as PDFfiller.
2016-08-30
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Saves time. Saves money. Both make me happier!
Quick way to complete forms and sign documents in today's electronic world.
What do you dislike?
I can't think of anything that I don't like about PDFfiller!
Recommendations to others considering the product:
This software has saved me a tremendous amount of time. Can't imagine operating without it!
What problems are you solving with the product? What benefits have you realized?
Saves time. Saves money. Both make me happier!
2019-05-29
So far, I'm just using the service to fill out miscellaneous forms for my Veterans Administration file and consolidating outlines for submittal as well. So far, so good with very little issues.
2024-08-26
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Mi experiencia con pdfFiller ha sido bastante positiva. Lo que más me ha gustado del software es su capacidad para crear y diseñar formularios de manera rápida y sencilla. Esto me ha ahorrado mucho tiempo al momento de completar trabajos y tareas para mis clases. Además, la automatización del proceso/flujo de trabajo también ha sido muy útil, ya que me permite organizar y enviar mis documentos de manera eficiente.
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2023-01-26
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2022-06-27
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It is an excellent experience with pdFiller. I was attended to by an experienced customer advisor. The service I received is beyond my expectation. Please I will recommend pdFiller for your needs
2021-07-27
I am truly satisfied with this…
I am truly satisfied with this service,all day long I have been trying to send one page,just one page to another person,and I could of not do it with any other pdf service,but with this one. Thank you pdfFiller for you have made my day so much easier. Thank you,keep up the good work. Oh,if anyone should ask,I would certainly recommend them your service.Yours Truly: Jorge Gutierrez
2020-05-06
Classify Photo Attestation Feature
The Classify Photo Attestation feature streamlines your photo management and verification process. It simplifies the way you validate images while ensuring accuracy and reliability. This tool helps you maintain high standards for authenticity and credibility in your visual content.
Key Features
Automated classification of images based on content type
Instant verification of photo authenticity
User-friendly interface for easy navigation
Integration with existing management systems
Customizable tagging options for better organization
Potential Use Cases and Benefits
Marketers can ensure that all promotional images meet quality standards
E-commerce platforms can verify product images for authenticity
Media companies can quickly classify and verify images for publication
Event organizers can manage and authenticate photos from diverse sources
Non-profits can showcase verified images to gain trust from supporters
By using the Classify Photo Attestation feature, you can solve the common problems of photo authenticity and classification. This tool helps you reduce the risk of misinformation while enhancing the trustworthiness of your visual content. With organized and verified images, you can improve operational efficiency and keep your audience informed.
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What is image classification machine learning?
Image classification is a supervised learning problem: define a set of target classes (objects to identify in images), and train a model to recognize them using labeled example photos. Early computer vision models relied on raw pixel data as the input to the model.
What is image classification used for?
Image classification refers to the task of extracting information classes from a multiband raster image. The resulting raster from image classification can be used to create thematic maps.
What is meant by classification of image?
Image classification refers to the task of extracting information classes from a multiband raster image. The resulting raster from image classification can be used to create thematic maps. ... The recommended way to perform classification and multivariate analysis is through the Image Classification toolbar.
What is image classification in remote sensing?
In a broad sense, image classification is defined as the process of categorizing all pixels in an image or raw remotely sensed satellite data to obtain a given set of labels or land cover themes (Lille sand, Safer 1994). As can see in figure1. SPOT multi spectral image of the test area.
What are the classification technique in image classification?
Image classification refers to the. Labelling of images into one of a number of predefined categories. Classification includes image sensors, image preprocessing, object detection, object segmentation, feature extraction and object classification. Many classification techniques have been.
What can you do with image recognition?
The computer vision can distinguish objects, facial expressions, food, natural landscapes and sports, among others. Besides tagging of people on photos, image recognition is used to translate visual content for blind users and to identify inappropriate or offensive images.
What is the best model for image classification?
1 Exception. It translates to Extreme Inception. ...
2 VGG16 and VGG19: This is a eras model with 16 and 19 layer networks that has an input size of 224×224. ...
3 ResNet50. The Reset architecture is another pre-trained model highly useful in Residual Neural Networks. ...
4 InceptionV3. ...
5 Densest. ...
6 Mobileye. ...
7 Asset.
Which algorithm is used for image recognition?
Some algorithms used in image recognition (Object Recognition, Face Recognition) are SIFT (Scale-invariant Feature Transform), SURF (Speeded Up Robust Features), PCA (Principal Component Analysis), and LDA (Linear Discriminant Analysis).
Why is CNN good for image classification?
In machine learning, Convolutional Neural Networks (CNN or Connect) are complex feed forward neural networks. CNN's are used for image classification and recognition because of its high accuracy. ... It has 55,000 images -- the test set has 10,000 images and the validation set has 5,000 images.
What is classification in machine learning?
In machine learning and statistics, classification is a supervised learning approach in which the computer program learns from the data input given to it and then uses this learning to classify new observation. ... Linear Classifiers: Logistic Regression, Naive Bayes Classifier.
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