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How to train a model to detect technicians and forklifts in a workshop setting
Let's suppose we have a forklift workshop, and we want to be able to recognize the technicians and the forklifts in the workshop with an...
julian garcia
Nov 6, 20243 min read


3 metricas claves para controlar los talleres de maquinaria
En un taller de maquinaria, es crucial evaluar la productividad y la utilización de recursos mediante tres métricas esenciales y que...
german marin
Jul 24, 20242 min read


La medición de tiempos : el factor clave para mejorar la productividad de tus procesos
Veamos en primer lugar un ejemplo para clarificar las ideas. Tal como vemos en el video , con camaras situadas estrategicamente y usando ...
german marin
Jun 11, 20243 min read


Computer Vision para mejorar la eficiencia de carga en el Proceso Minero
Introducción La eficiencia de carga juega un papel crítico en el éxito del proceso minero, ya que el equipo de carga es la fuente de...
german marin
Jun 10, 20242 min read


Principios básicos para mejorar la productividad y eficiencia del Servicio Técnico
En un taller de servicio técnico, uno de los objetivo principales es aumentar la eficiencia y producción. Esto implica que, con el mismo...
german marin
Jun 7, 20243 min read


Efficient Deployment of Custom YOLOv8 Models Using Salad's Affordable Shared GPUs: A Cost-Saving Guide
Are you looking to deploy production-class predictions using a custom YOLOv8 model? YOLOv8, developed by Ultralytics, is a sophisticated...
julian garcia
Jan 8, 20246 min read


Guide to Deploying Meta's 'Segment Anything' Model on Salad's Shared GPUs and save money
Do you require an affordable online automatic segmentation service? Salad.com offers a budget-friendly solution with access to...
julian garcia
Jan 2, 20247 min read


How to use the KIADAM's integrated segmentation tool to facilitate background removal
The KIADAM tool allows the creation of a synthetic dataset to easily train an object detection model, without all the pain of going...
julian garcia
Dec 12, 20232 min read


Part 2 of Increase model robustness against out of distribution objects with data augmentation
We have a model that detects different types of whiteboard markers. The problem is that in the office, we have not only markers, but also...
julian garcia
Oct 12, 20233 min read


Increase model robustness against out of distribution (OOD) objects with data augmentation - Part 1
We have a model that detects different types of whiteboard markers. The problem is that in the office, we have not only markers, but also...
julian garcia
Sep 26, 20234 min read


Impact of the different types of cutout transformation on generated datasets of whiteboard markers
The cutout transformation is a somewhat counterintuitive transformation. In its original form, it consists on adding a black rectangle in...
julian garcia
Sep 22, 20236 min read


How to improve step by step the metrics of a generated object detection dataset with Yolov8
A few weeks ago, we released an article about using different backgrounds to improve the metrics on object detection of a dataset...
julian garcia
Sep 1, 20235 min read


Choosing the correct object sizes to generate your KIADAM synthetized datasets
In the world of object detection, one of the most important elements to achieve good detection metrics is the dataset. Mainly, it is...
julian garcia
Aug 18, 20233 min read


Discover Kiadam's best practices for use in your deep learning computer vision project
Using a new tool can be overwhelming at first. If you have any doubt about what setting to use or which images to upload, this table...

Rémi Coscoy
Aug 16, 20232 min read


The importance of Backgrounds in Object Recognition with KIADAM
As the name implies, "Object" Recognition, a central part of computer vision, is usually centered around the object. It's what you want...

Rémi Coscoy
Aug 3, 20233 min read
![[TUTORIAL] How to generate a Synthesized dataset with Kiadam for you Object recognition projects](https://static.wixstatic.com/media/e123a3_6ade8b6aa3494342b608bb3d67578a8c~mv2.webp/v1/fill/w_333,h_250,al_c,q_30,blur_30,enc_avif,quality_auto/e123a3_6ade8b6aa3494342b608bb3d67578a8c~mv2.webp)
![[TUTORIAL] How to generate a Synthesized dataset with Kiadam for you Object recognition projects](https://static.wixstatic.com/media/e123a3_6ade8b6aa3494342b608bb3d67578a8c~mv2.webp/v1/fill/w_454,h_341,al_c,q_90,enc_avif,quality_auto/e123a3_6ade8b6aa3494342b608bb3d67578a8c~mv2.webp)
[TUTORIAL] How to generate a Synthesized dataset with Kiadam for you Object recognition projects
Currently undergoing or interested in an object recognition or computer vision project using deep learning, for example with YOLO? You...

Rémi Coscoy
Jul 25, 20233 min read


When to use Meta's Segment Anything to drastically improve your model's accuracy when using KIADAM
The way our Kiadam tool helps you generate a dataset for your object recognition or computer vision project is by pasting images of the...

Rémi Coscoy
Jul 20, 20234 min read


Limited Data? Improve your Dataset with our No Code Data Augmentation tool, KIADAM
Quantity of data is essential to the quality of the prediction your model will output. Let's say you are doing or planning to do a...

Rémi Coscoy
Jul 10, 20235 min read
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