The SODA Dataset is a computer vision dataset containing aerial imagery of small objects captured at different altitudes. The Small Objects from Different Altitude (SODA) Dataset contains 829 images and 6719 object annotations. The objects are annotated using polygons.
The SODA dataset can be downloaded from here.
- Description: The 829 images are grouped into their respective altitude directory.
- Recommended usage: Test and validation using images captured from different altitudes.
- Preprocessing: No image pre-processing steps were applied to the images.
- Augmentation: No image augmentation steps were applied to the images.
- Description: The 829 images are merged into one directory.
- Recommended usage: Training a small object detector using images captured at different altitudes.
- Preprocessing: No image pre-processing steps were applied to the images.
- Augmentation: No image augmentation steps were applied to the images.
The SODA dataset is also hosted on Roboflow for public access. The SODA Data repository on Roboflow can be accessed from here.
- Clear Plastic Bottles (clear_plastic_bottle)
- Drink Cans (drink_can)
- Drink Cartons (drink_carton)
- Glass Bottles (glass_bottle)
- Glass Jars (glass_jar)
- Other Plastic Bottles (other_plastic_bottle)
- 1m (Captured using an iPhone SE): 452 images | 720 annotations
- 5m: 202 images | 1853 annotations
- 10m: 50 images | 1142 annotations
- 15m: 35 images | 958 annotations
- 20m: 30 images | 768 annotations
- 25m: 30 images | 716 annotations
- 30m: 30 images | 612 annotations
Altitudes are all AGL (Above Ground Level). Aerial images were captured using a combination of DJI Mini 2 and a DJI Air 2S drones.
- Auto-Orient
- Resize (640x40)
- Tile (5x5)
- Dropped 'unlabelled litter' class.
- No image augmentation steps applied for model training.
January 27, 2024: First upload of SODA dataset with 829 images and 6719 annotations.