What is Vredefort?
Vredefort is software that enables users to create No Code AI models. You can train a model on your local system in 4 easy steps without compromising data privacy. We empower you to modify the training parameters in developer mode based on your requirement. With us, create computer vision AI models for various sectors like Logistics, Manufacturing, Healthcare, Agriculture, Retail, Educational Institutions, and so on.
What we Offer
We are intelligent in action.
Free And Private
We safeguard your privacy and your information is safe with you.
Multilingual software
Software is available in - Hindi, Marathi, Gujarati, Arabic, Japanese, and English.
Simple To Use
The simplicity allows us to cater to businesses of all sizes and sectors.
Faster and Efficient Annotation
Keyboard shortcuts & user-friendly interface make annotation faster and more efficient.
No Coding Knowledge Required
Anyone and everyone can make their AI models without a single line of code
Glance your projects in seconds
See the number of annotated label-wise images, overall & class-wise accuracy in one place.
Developer Mode
Modify hyper-tuning parameters and confidence levels when you train & play the model.
Improve class accuracy
Check class-wise accuracy, reduce the class imbalance and improve the model accuracy.
Replicate a model
Replicate a model, and play around with the new one, keeping both the models safe.
Train an already annotated dataset.
Import the annotated dataset, click the train button & get rid of the tedious training process.
Improve model accuracy
Add more datasets to an already trained model and re-train it again
Jetson Deepstream ready model.
We allow you to download the model and use it directly on Jetson nano.
The power of applied intelligence.
Fire Detection Model
We have used a dataset of 136 images and have achieved a hyperlocal accuracy of 95 %. This model can be used for averting disasters and for surveillance purposes.
Leopard Detection Model
We have used a dataset of 130 images and have achieved a hyperlocal accuracy of 88 %. This model can be used for environmental and wildlife protection purposes.
Person Detection Model
We have used a dataset of 127 images and have achieved a hyperlocal accuracy of 95%. The model can perform trespassing detection, person detection in regions of interest, etc.
Malaria Parasite Detection
We have used a dataset of 128 images and have achieved a hyperlocal accuracy of 84 %. This model can assist medical professionals with faster and more efficient malaria parasite detection
Modeling the vision, the way we want
Coffee leaf disease detection
Diycam Face recognition Edge Camera
Car AI Atal Challenge
Shipping port automation , container number detection and identification
Auto Spare part detection.
Diycam Worker Compliance and Safety check using Computer vision and Artificial intelligence
Create a model of your own
Train New Model
Enter the model name, label details, and upload the dataset. The dataset is cleaned automatically and a simple to use annotation page appears. Complete the annotation and start training with a single click.
Train Existing Model
Train an existing model here. We allow you to upload more datasets based on your requirement and train an existing model. In the developer mode, you can modify parameters like the batch size, epochs, etc.
Play Model
Select a model and video input type to check the inference. With a single click run inference on videos, USB cameras, and IP cameras. You can download the inference video and modify confidence levels in developer mode.
Deploy Model
Switch on the server, upload a model and run inference on an image. In the inference, the detected labels are displayed and you get a glance of the objects detected. You can download the inference image.
What Our Users Say
The software(Vredefort) that you’ve developed is really good. And I’ll try to install it in our college also. The second part RDX also I’ll use and connect to you for any doubts.
Swati Joshi
It is really appreciable the work that is going behind designing the software(Vredefort). And I feel for beginners and non-technical people this will be helpful. The second part i.e RDX I really loved that idea and I am definitely going to tell students to go through that and make use of it.
Vishakha Kelkar
When I go home, I will start using this software & tell my students also. I am very eager to go home and actually use it.
Saurabh Tejpal
