Image Classification & Auto-Tagging Tool
Automatically classify, tag and moderate thousands of product, property or medical images
- Fixed price
- $1,200 – $2,500
- Delivery
- 12–20 days
- Built with
- Gemini · GPT · Claude · Claude Code · DeepSeek
An image classification and auto-tagging tool that labels, sorts and moderates photos with vision models. Custom computer vision development from $1,200 to $2,500 in 12 to 20 days.
The problem
E-commerce catalogues, property portals, marketplaces and media teams receive thousands of images a week that someone has to categorise, tag, check for quality and reject when they break the rules. Interns do it inconsistently, listings go live with the wrong category or a blurry hero image, and search and filters suffer. Building a vision model from scratch used to need a data science team and months of labelling.
What we build
We build a tagging pipeline that sends each image to Gemini or GPT vision models with your taxonomy and rules, returning categories, attributes such as colour, room type or material, quality scores, text found in the image and moderation flags, with embeddings stored in pgvector for similarity search and duplicate detection. A review screen lets staff correct low-confidence results and the corrections improve prompts. Claude Code scaffolds the queue, storage and API, DeepSeek keeps bulk re-tagging cheap, and we calibrate on a labelled sample of your images before go-live. Full source code and a fixed price that never exceeds $2,500.
Features included
- Custom taxonomy and attribute extraction
- Quality and blur scoring
- Moderation for unsafe or off-policy images
- Duplicate and near-duplicate detection
- Similarity search with pgvector
- Text in image detection
- Review screen for low-confidence results
- Bulk processing of existing libraries
- API and webhook for your upload flow
What you receive
- Full source code in your GitHub repository
- Pipeline deployed on your cloud account
- Taxonomy and prompt configuration
- Accuracy report on your labelled sample
- 30-day bug-fix warranty
Ideal for
- E-commerce marketplaces
- Real estate portals
- Stock photo and media libraries
- Classified ad platforms
- Fashion and furniture brands
- Healthcare imaging triage
FAQ
Image Classification & Auto-Tagging Tool: common questions
How much does an image tagging tool cost?
Between $1,200 and $2,500 depending on taxonomy size, volume and integrations, delivered in 12 to 20 days. The fixed quote never exceeds $2,500.
How accurate is the tagging?
On well-defined taxonomies vision models reach 90 to 97 percent agreement with human labels; uncertain cases go to the review screen. We report accuracy on your own sample before launch.
Where are our images processed and stored?
Images stay in your own S3 or cloud storage and are sent to the vision model through API keys in your account with no retention. Results and embeddings live in your database.
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