Image & Sentiment Annotation
Краткое
Freelancer Client is hiring: Image & Sentiment Annotation.
Location: Remote
I have two connected datasets that need careful, consistent labelling.
Requirements:
• Minimum 95 % agreement with the gold-standard sample I will provide
Skills: Data Processing, Data Entry, Image Processing, Data Integration, Computer Vision, Data Management, Natural Language Processing, Sentiment Analysis
Budget: $12500–$37500 USD
Source: Freelancer Client via Remote / Online. Apply on the source website.
Оригинал
I have two connected datasets that need careful, consistent labelling.
First, a collection of images requires classic visual annotation: drawing precise bounding boxes around the main subjects and assigning the correct class names. Second, I also have a stream of social-media posts that must be tagged for sentiment (positive, neutral or negative). The text items are already paired with unique IDs, so it is important that the image annotations and the sentiment labels both keep those IDs intact for easy merging later.
All files are organised in cloud folders; I will grant you access once we start. For the images, feel free to work in CVAT, LabelImg or another tool that can export COCO JSON or Pascal VOC. For the sentiment work, any spreadsheet-friendly format such as CSV is fine as long as it contains the post ID and the chosen sentiment label in separate columns.
Quality matters more than speed: I will begin with a small test batch, review your labels, then release the remaining data in stages. Clear communication and neatly structured output will be key to keeping the project on track.
Deliverables
• A zipped export of the fully annotated image set in COCO JSON or Pascal VOC
• A CSV listing each social-media post ID alongside its sentiment label (positive / neutral / negative)
Acceptance criteria
• Minimum 95 % agreement with the gold-standard sample I will provide
• No missing, duplicate, or mismatched IDs across either dataset
If this fits your expertise, I look forward to working together on clean, reliable data.
Локация & Details
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