Insect Village Synthetic Dataset
Dataset generated by Python script and GIMP edits, containing synthetic images of insects on various backgrounds, with integrated COCO annotations for classification and detection.
Around 25,000 files: synthetic images, COCO annotations in JSON format
CC BY-SA 3.0
Description
The Insect Village Synthetic Dataset includes approximately 25,000 synthetic insect images generated using Python and edited with GIMP. The images include various insects on varied backgrounds, with COCO annotations for easy classification and detection tasks.
What is this dataset for?
- Train insect species classification models
- Develop computer vision object detection systems
- Test models on synthetic data before transfer to real data
Can it be enriched or improved?
The dataset can be enriched by adding real images to increase diversity, or by generating additional annotations for specific tasks.
🔎 In summary
🧠 Recommended for
- Vision researchers
- AI developers
- Computer vision students
🔧 Compatible tools
- COCO API
- TensorFlow Object Detection API
- PyTorch
- Labelme
💡 Tip
Combine with real data to improve the robustness of the models.
Frequently Asked Questions
What annotations are provided with this dataset?
The dataset includes COCO annotations, suitable for object classification and detection.
Are the images synthetic or real?
Mostly synthetic, generated by Python script and retouched manually.
Does the CC BY-SA license allow commercial use?
Yes, provided that derivatives are shared identically (ShareAlike).
