--- license: apache-2.0 task_categories: - text-to-image size_categories: - 1K **"Sub Arctic Polar Bear"** is a fine tuning text-to-image dataset consisting of dynamic photographs captured in 30MP+ resolution using Canon R5 and a Canon 600mm RF lens. ## Key Features - 📷 **Detail**: Every photograph is captured at the proper exposure, full sharpness, delivering rich detail ideal for fine tuning polar bear datasets. - 🎞️ **Variance**: Includes close-up details, behavioural, low perspective ground level, all angles of the polar bears, medium and far shots in habitat, autumn and winter scenes. - ⚙️ **Consistency**: Re-thinking training data at the point of capture by "overshooting" a subject, enabling models to learn more nuanced relationships and views across scenes. - 🌅 **Light**: Shot during early morning, sunset light for optimal color contrast and dynamic range. Also, shot during bright overcast, maximizing visual quality for color and lighting-sensitive tasks. - 🔍 **Curation**: Curated specifically for machine learning, providing clean, high-quality data for next generation model training. ## Dataset Details - **Total photos:** 1,801 - **Total size:** 55.01 GB - **Photo types:** Close-ups, medium distance, habitat, portraits, side profile, all angles, awake, walking, sleeping, eating. ## Technical Details - **Cameras:** Canon R5 - **Lenses:** Canon 600mm RF, Canon 70-200mm EF - **Resolution:** 8192x5464 - **Colorspace:** Adobe RGB 1998 - **Image Size:** 35MP+ ### Content Credentials Each video in the "Sub Arctic Polar Bear" dataset contains **C2PA Content Credentials** metadata and can be used with the [Content Credentials Space by Truepic](https://huggingface.co/spaces/Truepic/ai-content-credentials) to begin testing model provenance. ## What is Overlai.ai? [Overlai.ai](https://overlai.ai/) specializes in 8K+ fine tuning datasets with the goal of improving photo & video models. Contact us for the complete dataset list or access to this dataset in full resolution. ## Contact *hello@overlai.app*