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Merge branch 'feat-seo' of github.com:ISSResearch/Data-Collection-Tool into feat-seo
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README.md

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# ISS Data Collection Tool
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An end-to-end dataset annotation and management system built for scale. Supports multi-role workflows, structured label taxonomies, validation cycles, goal tracking, and archive exports. Ideal for organizations building private, high-integrity datasets.
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An end-to-end dataset collection system designed for scalability. Supports multi-role workflows, structured label taxonomies, validation cycles, goal tracking, and archive exports. Ideal for organizations building private, high-integrity datasets with distributed teams of data collectors.
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🛠 Currently in active development. Ideal for internal use, pilots, and research-stage projects.
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## 🧩 Features
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This platform lets you:
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This platform enables you to:
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- **Projects** with custom label systems
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- **Uploading** images/videos and assigning them to labeling schemas
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- Collection **Goals**
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- Tracking **Stats**
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- **Export** annotated datasets
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- Create projects with custom label systems
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- Upload images/videos and assign them to labeling schemas
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- validate uploaded files
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- Set collection goals
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- Track progress with stats
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- Export data
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## 📚 Documentation & Examples
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docs/downloads.md

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# 📥 Downloads
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This section lets you download annotation results for a project.
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This section lets you download collected data for a project.
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<!-- <img src="/docs/assets/" alt="downloads"> -->
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docs/goals.md

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# 🎯 Goals
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This tab lets you define and track annotation targets for specific labels.
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This tab lets you define and track collection targets for specific labels.
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<!-- <img src="/docs/assets/" alt="goals"> -->
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docs/labels.md

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# 🧩 Labels
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Each project uses a label schema to annotate the data being collected These can be:
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Each project uses a label schema to annotate collected data. Labels help ensure even data collection and reduce future class imbalance. These can include:
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- Flat or hierarchical
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- Required or optional

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