Image Recognition Training For Accurate Computer Vision | Chooch AI Vision Dashboard
Learn more: https://www.chooch.com/
The Chooch AI Dashboard allows you to create classes, upload visual data, and test image perception.
Our team can help you to quickly create image recognition solutions, along with a broad array of other computer vision offerings, in weeks, not years.
Chooch empowers rapid computer vision development and deployment. Currently used in the healthcare, geospatial, security, media, retail and other industries, Chooch AI integrates easily via API with your information networks. Chooch AI can be embedded in imaging devices for edge processing, installed on premise, or networked through the cloud providing infinite scale and power to meet processing demands.
CONCEPT TO VISUAL AI DEPLOYMENT
Our team has deep expertise in scoping, planning and developing computer vision projects for global scale. Our typical workflow includes:
Solutions Design
Data Collection
Annotation & Labelling
Model Development
Prototype Testing
Integration
Support & Growth
Please get in touch to discuss how we can add radical efficiencies to your visual processes.
Here's a transcript of the video. Training my image on Chooch Dashboard, let’s go ahead get started. We’ll start with creating a perception, here at the top right and let’s start off with something very simple, brands. Go ahead and create my perception name here. And once created we will then move on to creating the class. Let’s go ahead and start with the Nike. Created the class within the perception and now it’s time to go ahead and upload some images for the Nike logo class. Now, prepared five Nike images on my computer to train Chooch Dashboard to understand the Nike logo. Let’s go ahead and select these five files and as you see Chooch is preparing the five images to upload. Once the upload is complete, as you can see the five images are now part of the Nike logo class. Let’s go ahead and go back here and now we can test the upload. I did prepare a Nike logo image that it’s not a part of this dataset for testing. Let’s go ahead and test the upload. Here we go. 82% accuracy. Please feel free to reach out to us, if you have any questions. Thanks again.
Contact us at: https://www.chooch.com/contact-us/
FOLLOW US ON LINKEDIN:
https://www.linkedin.com/company/chooch
#AIVision #EmergingTechnologies #VisionAI #ArtificialIntelligence #MachineLearning #DeepLearning #EdgeComputing #CloudAI #EdgeAI #AI #Chooch
Learn more: https://www.chooch.com/
The Chooch AI Dashboard allows you to create classes, upload visual data, and test image perception.
Our team can help you to quickly create image recognition solutions, along with a broad array of other computer vision offerings, in weeks, not years.
Chooch empowers rapid computer vision development and deployment. Currently used in the healthcare, geospatial, security, media, retail and other industries, Chooch AI integrates easily via API with your information networks. Chooch AI can be embedded in imaging devices for edge processing, installed on premise, or networked through the cloud providing infinite scale and power to meet processing demands.
CONCEPT TO VISUAL AI DEPLOYMENT
Our team has deep expertise in scoping, planning and developing computer vision projects for global scale. Our typical workflow includes:
Solutions Design
Data Collection
Annotation & Labelling
Model Development
Prototype Testing
Integration
Support & Growth
Please get in touch to discuss how we can add radical efficiencies to your visual processes.
Here’s a transcript of the video. Training my image on Chooch Dashboard, let’s go ahead get started. We’ll start with creating a perception, here at the top right and let’s start off with something very simple, brands. Go ahead and create my perception name here. And once created we will then move on to creating the class. Let’s go ahead and start with the Nike. Created the class within the perception and now it’s time to go ahead and upload some images for the Nike logo class. Now, prepared five Nike images on my computer to train Chooch Dashboard to understand the Nike logo. Let’s go ahead and select these five files and as you see Chooch is preparing the five images to upload. Once the upload is complete, as you can see the five images are now part of the Nike logo class. Let’s go ahead and go back here and now we can test the upload. I did prepare a Nike logo image that it’s not a part of this dataset for testing. Let’s go ahead and test the upload. Here we go. 82% accuracy. Please feel free to reach out to us, if you have any questions. Thanks again.
Contact us at: https://www.chooch.com/contact-us/
FOLLOW US ON LINKEDIN:
https://www.linkedin.com/company/chooch
#AIVision #EmergingTechnologies #VisionAI #ArtificialIntelligence #MachineLearning #DeepLearning #EdgeComputing #CloudAI #EdgeAI #AI #Chooch
