Insect Village Synthetic Dataset

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Insect Village Synthetic Dataset

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Insect Village Synthetic Dataset

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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.