Geometric Shapes Dataset for Deep Learning
Geometric Shapes Dataset for Deep Learning
Datasets
Geometric Shapes Dataset for Deep Learning
File
Geometric Shapes Dataset for Deep Learning
Use Case
Geometric Shapes Dataset for Deep Learning
Description
Enhance your deep learning and computer vision projects with this Geometric Shapes Dataset for Deep Learning!
Description:
 This dataset is ideal for training deep learning models in shape classification, object detection, and recognition tasks. Each shape is available in multiple colors (black, blue, green, red, and yellow), ensuring diverse data for robust model performance.
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Boost your deep learning and computer vision projects with this comprehensive geometric shapes dataset! Designed for AI and ML applications, this dataset features a diverse collection of geometric shapes, including circles, squares, triangles, rectangles, ellipses, octagons, parallelograms, pentagons, and rhombuses.
Dataset Overview:
✅ Total Images: 20,000
✅ Total Directories: 40
✅ Images per Shape/Color: 500
✅ Shape Categories: Circle, Ellipse, Octagon, Parallelogram, Pentagon, Rectangle, Rhombus, Square
✅ Color Variations: Black, Blue, Green, Red, Yellow
✅ Ideal for: Deep learning, AI & ML model training, shape recognition, classification, and computer vision research
Key Features:
🔹 AI & ML-Ready Dataset: Optimized for deep learning applications
🔹 Diverse Shape & Color Variations: Enhances model accuracy with a broad dataset
🔹 High-Resolution Images: Well-structured data for better feature extraction
🔹 Compatible with Major AI Frameworks: Supports TensorFlow, PyTorch, and OpenCV
🔹 Scalable & Versatile: Ideal for various AI applications, from robotics to educational tools
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