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flower-classifier-from-scratch
ausjahk/flower-classifier-from-scratch
flower-classifier-from-scratch is a image classification model from ausjahk. Use it when you need a label for an image.
Custom Convolutional Neural Network (CNN) built and trained entirely from scratch (random weight initialization) on the Kaggle Flowers Recognition dataset.
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At a glance
- Task
- Image Classification
- Access
- Public
- Created
- Sep 3, 2026
- Updated
- Sep 3, 2026
- SHA
- 17f2c126
Model card
From the Hugging Face model README
Flower Species Classifier (CNN From Scratch)
Overview
Custom Convolutional Neural Network (CNN) built and trained entirely from scratch (random weight initialization) on the Kaggle Flowers Recognition dataset.
Classes (5)
- Daisy 🌼
- Dandelion 🌾
- Rose 🌹
- Sunflower 🌻
- Tulip 🌷
Architecture
- 4 Conv Blocks (32 → 64 → 128 → 256 filters)
- BatchNorm + ReLU + MaxPool2d
- Dense Classifier Head (256 -> 5 classes)
- Total Parameters: 4,585,221 (All random initialization)
Performance
- Test Accuracy: 64.35%
- Task
- Image Classification
- Created
- Sep 3, 2026
- Updated
- Sep 3, 2026