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You will get semantic, instance, and panoptic segmentation

Nyi N.Status: Offline
Nyi N. Nyi N.
Preview imagePreview imagePreview image

Let a pro handle the details

Buy Machine Learning services from Nyi, priced and ready to go.
Nyi N.Status: Offline
Nyi N. Nyi N.
Preview imagePreview imagePreview image

Let a pro handle the details

Buy Machine Learning services from Nyi, priced and ready to go.

Project details

This service offers image segmentation tasks such as

 • Semantic segmentation,
 • Instance segmentation, and
 • Panoptic segmentation.

Customers can choose any desired Deep Learning framework:

PyTorch
TensorFlow
Keras
Hugging Face
PaddlePaddle.

For Semantic segmentation,

Segmentation Models PyTorch (SMP)
Torchvision
Ultralytics YOLO
mmsegmentation
Transformers
KerasCV
TensorFlow Models (TFM)
Segmentation Models (SM) Keras
PaddleSeg

For Instance segmentation,

Ultralytics YOLO
YOLACT
Roboflow RF-DETR
Torchvision
mmdetection
Detectron2
Transformers
TensorFlow Models (TFM)
TensorFlow Object Detection (TFOD)
TensorFlow2 Keras matterport Mask-RCNN
PaddleDetection

For Panoptic segmentation,

Hugging Face Transformers
Detectron2
mmdetection

Customers can choose any desired library and any model from these lists.

Customers will get -

 • Fully fine-tuned model for specific task
 • Performance Evaluation metrics

 • Full pipeline codes with Academic documentations
 • Production ready deployment (ONNX or TFLite or MLflow serve)

I am ready for your downstream task and welcome to Advanced Segmentation technology.
Machine Learning Tools
Apache MXNet, ChatGPT, Databricks MLflow, Google Sheets, Keras, Microsoft Excel, MLflow, NumPy, Open Neural Network Exchange, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SQL, TensorFlow
What's included
Service Tiers Starter
$100
Standard
$150
Advanced
$200
Delivery Time 2 days 4 days 5 days
Number of Revisions
011
Number of Model Variations
111
Number of Scenarios
111
Number of Graphs/Charts
123
Model Validation/Testing
Model Documentation
-
-
Data Source Connectivity
-
Source Code
-
Optional add-ons You can add these on the next page.
Additional Revision
+$30
Additional Model Variation (+ 2 Days)
+$30
Additional Scenario (+ 2 Days)
+$30
Additional Graph/Chart (+ 1 Day)
+$10
Model Documentation (+ 1 Day)
+$30
Data Source Connectivity (+ 2 Days)
+$30
Source Code (+ 1 Day)
+$30
Nyi N.Status: Offline

About Nyi

Nyi N.Status: Offline
Deep Learning Engineer
Pakokku, Myanmar - 3:35 pm local time
Deep Learning Engineer with 3+ years of hands-on experience building Computer Vision models. Specialized in object detection frameworks and model optimization, with expertise in PyTorch, TensorFlow, Keras, and PaddlePaddle. Experienced in fine-tuning models, evaluation, and optimizing inference performance for speed and accuracy, including preparing models for real-time edge inference and efficient deployment. Proven ability to design and implement end-to-end ML workflows together with MLOps tools from experimentation to practical applications.

Steps for completing your project

After purchasing the project, send requirements so Nyi can start the project.

Delivery time starts when Nyi receives requirements from you.

Nyi works on your project following the steps below.

Revisions may occur after the delivery date.

Dataset preparation & Data preprocessing

Model Selection & Hyperparameter Setting

Review the work, release payment, and leave feedback to Nyi.