Insect Village Synthetic Dataset
Insect Village Synthetic Dataset
Datasets
Insect Village Synthetic Dataset
File
Insect Village Synthetic Dataset
Use Case
Insect Village Synthetic Dataset
Description
Explore the Insect Village Synthetic Dataset featuring 10,000 high-resolution images across 10 insect classes with COCO-style annotations.
Description:
The Insect Village Synthetic Dataset is a meticulously created collection of images designed for AI training purposes. Generated programmatically via Python and refined using GIMP, this dataset offers a diverse range of insect images in various settings and poses. It ensures high-quality, detailed visuals suitable for training machine learning models, enhancing their accuracy and performance. Each image is crafted to simulate real-world conditions, providing a robust foundation for developing and testing AI algorithms.
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Contents:
- Insect Classes Folder: Contains 1,000 synthetic images per insect class.
- ImageClassesCombinedWithCOCOAnnotations Folder: Features merged insect classes with COCO annotations and test images.
Current Insect Classes:
- Bees
- Beetles
- Butterflies
- Cicada
- Dragonflies
- Grasshoppers
- Moths
- Scorpions
- Snails
- Spiders
Enhanced Details:
- Image Quality: High-resolution images ensuring detailed features suitable for deep learning models.
- Annotations: COCO-style annotations for precise object detection tasks.
- Customization: Flexible dataset allowing adjustments to the number of images per class as required.
- Use Cases: Ideal for research in entomology, ecological studies, agricultural monitoring, and developing robust insect recognition systems.
- Similar Dataset: Sea Animals Image Dataset, offering similar structured data for marine creatures.
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