Small Object Detection Dataset
Small Object Detection Dataset
Datasets
Small Object Detection Dataset
File
Small Object Detection Dataset
Use Case
Small Object Detection Dataset
Description
Explore our detailed Small Object Detection Dataset designed for AI and machine learning applications.
Description:
This dataset is designed for detecting small objects within images. It encompasses four distinct object types, providing a variety of instances for detection and training purposes.
Content
The dataset comprises images and video frames collected from the internet (e.g., YouTube, Google) featuring small objects. It includes four specific categories:
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- Fly Dataset:
- Details: Contains 600 video frames.
- Statistics: Each frame has an average of 86 ± 39 flies.
- Resolution and Frame Rate: 648×72 pixels @ 30 fps.
- Usage: 32 images for training (frames 1 to 6, 187) and 50 images for testing (frames 301 to 6, 600).
- Honeybee Dataset:
- Details: Comprises 118 images.
- Statistics: Each image contains an average of 28 ± 6 honeybees.
- Resolution: 640×480 pixels.
- Usage: The dataset is evenly split between training and testing sets, with the first 32 images allocated for training.
- Fish Dataset:
- Details: Contains 387 video frames.
- Statistics: Each frame features an average of 56 ± 9 fish.
- Resolution and Frame Rate: 300×410 pixels @ 30 fps.
- Usage: 32 images for training (frames 1 to 3, 94) and 65 images for testing (frames 193 to 3, 387).
- Seagull Dataset:
- Details: Comprises three high-resolution images.
- Statistics: Each image has an average of 866 ± 107 seagulls.
- Resolution: 624×964 pixels.
- Usage: The first image is used for training, and the remaining two images are used for testing.
This dataset is sourced from Kaggle.
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