You will get Image Annotation,Data Labeling, Data Segmentation for object detection.
Project details
Quality data is very crucial to the performance of machine learning models. I am a highly-skilled data annotator with great attention to details and accuracy, and I am here to provide you with high-quality professional annotation and labeling services such as : Image annotation,Object labeling/tagging,Instance and semantic Segmentation,Polygons masks,Bounding boxes,Line annotation,Key Points annotation,Image classification and categorization.
Regulations:
1) Annotate guardrails on the left side and right side of the image. Keep the bboxes within left 1/3rd and right 1/3rd of the image. This is a useful rule of thumb to avoid capturing guardrails that seemingly converge in the middle 1/3rd of the image and are usually not very well visible. Exception to the above rule is when there is only one image of guardrails (Sequential) and they are mostly positioned in the middle 1/3rd. In this case annotate them. 2) Use 2 or more boxes instead of one big box. This is to avoid capturing guardrails that are off on the left side if a single box is used. Note. Do not add excessive bboxes. As a rule of thumb try to limit it to 5-6 bboxes and keep them with the left or right 1/3rd of the image.
Regulations:
1) Annotate guardrails on the left side and right side of the image. Keep the bboxes within left 1/3rd and right 1/3rd of the image. This is a useful rule of thumb to avoid capturing guardrails that seemingly converge in the middle 1/3rd of the image and are usually not very well visible. Exception to the above rule is when there is only one image of guardrails (Sequential) and they are mostly positioned in the middle 1/3rd. In this case annotate them. 2) Use 2 or more boxes instead of one big box. This is to avoid capturing guardrails that are off on the left side if a single box is used. Note. Do not add excessive bboxes. As a rule of thumb try to limit it to 5-6 bboxes and keep them with the left or right 1/3rd of the image.
AI Development Type
Model TuningWhat's included
| Service Tiers |
Starter
$5
|
Standard
$25
|
Advanced
$150
|
|---|---|---|---|
| Delivery Time | 1 day | 2 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | - | - | |
Detailed Code Comments | - | - | - |
Knowledge Graph | - | - | - |
Model Documentation | - | - | - |
Ontology | - | - | - |
Source Code | - | - | - |
Taxonomy | - | - | - |
Optional add-ons
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Fast Delivery
+$15 - $50About Ariful
Professional Data Labeling & Tagging Expert
Natore, Bangladesh - 12:07 pm local time
Nice to meet you , If you're really looking for high-quality Data Annotation or Labeling & Tagging Services, or a custom solution for your AI pipeline - I'm here to help You.
I have a lot of expertise for labeling, tagging & classifying big datasets for AI Model Training. I became proficient in a variety of image, text, audio & video annotation methods. Data Labelling & Tagging, Bounding boxes, Polygons, 3D Cuboids, Semantic segmentation, Keypoint annotations, and Line annotations are a few examples. The majority of the time those jobs needed the use of some of the following tools that I used.
• CVAT • V7 • Roboflow • LabelMe • Labelbox • OpenCV • Labelling • SuperAnnotate • SuperbAI • Encord • Supervisely •FastLabel.
Having an excellent attention to detail and a thorough understanding of industry-standard annotation tools and processes, my area of expertise is providing high-quality labeled data that supports dependable and accurate artificial intelligence models. I have a strong desire to use my abilities to assist companies and organizations in utilizing AI to their advantage and obtaining fresh insights from their data. I'll provide you the finest and most precise information possible and I'll also provide you the best and most accurately Annotated Data to create and train the AI Models #Machine_Learning, #Computer_Vision, #Deep_Learning Projects
Steps for completing your project
After purchasing the project, send requirements so Ariful can start the project.
Delivery time starts when Ariful receives requirements from you.
Ariful works on your project following the steps below.
Revisions may occur after the delivery date.
Detailed Check & Confirmation
All work are checked.