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    <title>Angular on dacbreakpoint</title>
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      <title>DataGym.ai</title>
      <link>https://dacbreakpoint.com/projects/datagym/</link>
      <pubDate>Sun, 15 Mar 2020 00:00:00 +0000</pubDate>
      <guid>https://dacbreakpoint.com/projects/datagym/</guid>
      <description>&lt;p&gt;DataGym.ai is a modern, web-based workbench for labeling images and videos. I built this tool to streamline the process of creating high-quality training data for machine learning models.&lt;/p&gt;&#xA;&lt;h2 id=&#34;what-it-does&#34;&gt;What it does&lt;/h2&gt;&#xA;&lt;p&gt;The platform allows teams to manage annotation projects end-to-end: organize datasets, label data with various annotation types, control quality through built-in review workflows, and export labeled data for model training.&lt;/p&gt;&#xA;&lt;h2 id=&#34;key-features&#34;&gt;Key Features&lt;/h2&gt;&#xA;&lt;ul&gt;&#xA;&lt;li&gt;&lt;strong&gt;Multi-format support&lt;/strong&gt; - Works with images (JPEG, PNG) and videos (MP4), including high-resolution assets&lt;/li&gt;&#xA;&lt;li&gt;&lt;strong&gt;Rich annotation tools&lt;/strong&gt; - Points, lines, bounding boxes, polygons, image segmentation, and video object tracking with linear interpolation&lt;/li&gt;&#xA;&lt;li&gt;&lt;strong&gt;Quality control&lt;/strong&gt; - Integrated review process with task lifecycle management (backlog → in progress → completed → reviewed)&lt;/li&gt;&#xA;&lt;li&gt;&lt;strong&gt;Flexible storage&lt;/strong&gt; - Direct uploads, public URLs, or AWS S3 integration&lt;/li&gt;&#xA;&lt;li&gt;&lt;strong&gt;API-first design&lt;/strong&gt; - Full REST API with Python SDK for integration into ML pipelines&lt;/li&gt;&#xA;&lt;li&gt;&lt;strong&gt;Data portability&lt;/strong&gt; - JSON import/export for labeled data and configurations&lt;/li&gt;&#xA;&lt;/ul&gt;&#xA;&lt;h2 id=&#34;tech-stack&#34;&gt;Tech Stack&lt;/h2&gt;&#xA;&lt;p&gt;Built with Java/Spring Boot on the backend and Angular on the frontend. The entire stack runs via Docker Compose for easy local deployment.&lt;/p&gt;</description>
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