You will get a fantastic Image Classification Model with over 90% score
You will get a fantastic Image Classification Model with over 90% score
Project details
You'll get an image classification model as per your choice which would be deployment ready and is built using SOTA models.
If the data quality is good, I guarantee model performance above 85% accuracy score. (an humble estimate, will be higher than 90). F1 Score will be used if there exists any class imbalance. However, balanced datasets are always better.
If the data quality is good, I guarantee model performance above 85% accuracy score. (an humble estimate, will be higher than 90). F1 Score will be used if there exists any class imbalance. However, balanced datasets are always better.
What's included
| Service Tiers |
Starter
$120
|
Standard
$300
|
Advanced
$800
|
|---|---|---|---|
| Delivery Time | 4 days | 8 days | 20 days |
Number of Revisions | 0 | 1 | 2 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | - |
Source Code | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$100 - $350
Additional Revision
+$30
Additional Model Variation
(+ 2 Days)
+$50
Additional Scenario
(+ 2 Days)
+$150
Additional Graph/Chart
(+ 1 Day)
+$50
Model Documentation
(+ 1 Day)
+$100
Source Code
(+ 1 Day)
+$100About Antoreep
Data Scientist | ML | DL | Computer Vision & NLP | Kaggle Expert
New Delhi, India - 8:37 am local time
Received over 40K downloads
quick_ml is a Computer Vision tool aimed to help professionals and
beginners to expedite and simplify their Computer Vision Workflow.
Antoreep Jana has been active in Machine Learning and Deep Learning and takes an interest in exploring different avenues through it. He studied extensively in this field and has done online certificate courses in machine learning from deeplearning.ai, IBM, Michigan University in Machine Learning and Deep Learning. He firmly believes in automating the mundane work and does so whenever and wherever he finds work is being done in a bland fashion. And at the end, he gives equal importance in communicating the work performed by him to anyone and everyone requiring, which might help the person perform his duties. He is always in search of an innovative and enthusiastic approach to work. He is interested in being an active member of Startups that believe in Innovation & unparalleled enthusiasm.
Steps for completing your project
After purchasing the project, send requirements so Antoreep can start the project.
Delivery time starts when Antoreep receives requirements from you.
Antoreep works on your project following the steps below.
Revisions may occur after the delivery date.
Creating the Data Pipeline
An optimized Data Pipeline which would be fed to the NN for model training
Selecting Baseline Models
Selecting Few Baseline models to start experimentation unless model architecture is explicitly mentioned/specified.