Datasets:
Sub Arctic Polar Bear
"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 to begin testing model provenance.
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