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Image Classification

Datasets

PASCAL VOC (Visual Ojbect Classes)

VOC2007 train/val/test 9,963張標註圖片，有24,640個標註物件
VOC2012 train/val/test11,530張標註圖片，有27,450個ROI 標註物件
20 classes:

  • Person: person
  • Animal: bird, cat, cow, dog, horse, sheep
  • Vehicle: aeroplane, bicycle, boat, bus, car, motorbike, train
  • Indoor: bottle, chair, dining table, potted plant, sofa, tv/monitor

COCO Dataset

  • Object segmentation
  • Recognition in context
  • Superpixel stuff segmentation
  • 330K images (>200K labeled)
  • 1.5 million object instances
  • 80 object categories
  • 91 stuff categories
  • 5 captions per image
  • 250,000 people with keypoints

ImageNet

This dataset spans 1000 object classes and contains 1,281,167 training images, 50,000 validation images and 100,000 test images. This subset is available on Kaggle.

Applications

CIFAR-10

Dataset: CIFAR-10
The CIFAR-10 dataset consists of 60000 32x32 colour images in 10 classes, with 6000 images per class. There are 50000 training images and 10000 test images.

Kaggle: rkuo2000/CIFAR10-CNN

Traffic Sign Classifier (交通號誌辨識)

Dataset: German Traffic Sign Recognition Benchmark (GTSRB)
34 traffic signs, 39209 training images, 12630 test images

Kaggle: rkuo2000/GTSRB-CNN

Emotion Detection (情緒偵測)

Dataset: FER-2013 (Facial Expression Recognition)
7 facial expression, 28709 training images, 7178 test images
labels = [“angry”, “disgusted”, “fearful”, “happy”, “neutral”, “sad”, “surprised”]

Kaggle: rkuo2000/FER2013-CNN

Pneumonia Detection (肺炎偵測)

Dataset: https://www.kaggle.com/paultimothymooney/chest-xray-pneumonia

Kaggle: rkuo2000/Pneumonia-CNN

COVID19 Detection (新冠肺炎偵測)

Dataset: https://www.kaggle.com/bachrr/covid-chest-xray

Kaggle: rkuo2000/COVID19-VGG16

FaceMask Classification (人臉口罩辨識)

Dataset: Face Mask ~12K Images dataset

Kaggle: rkuo2000/Facemask-CNN

Garbage Classification (垃圾分類)

Dataset: https://www.kaggle.com/asdasdasasdas/garbage-classification (42MB)
6 categories : cardboard(403), glass(501), metal(410), paper (594), plastic(482), trash(137)

Kaggle: rkuo2000/Garbage-CNN

Food Classification (食物分類)

Dataset: Food-11
The dataset consists of 16,643 images belonging to 11 major food categories:

  • Bread (1724 images)
  • Dairy product (721 images)
  • Dessert (2,500 images)
  • Egg (1,648 images)
  • Fried food (1,461images)
  • Meat (2,206 images)
  • Noodles/pasta (734 images)
  • Rice (472 images)
  • Seafood (1,505 images)
  • Soup (2,500 images)
  • Vegetable/fruit (1,172 images)

Kaggle: rkuo2000/Food11-Classification

Mango Classification (芒果分類)

Dataset: 台灣高經濟作物 - 愛文芒果影像辨識正式賽
Kaggle: rkuo2000/Mango-Classification, rkuo2000/mango-efficientnet

Transer Learning

Birds Classification (鳥類分類)

Dataset: https://www.kaggle.com/rkuo2000/birds2
用Google搜尋照片, 下載各20/30張照片，放入資料夾birds後，壓縮成birds.zip, 再上傳Kaggle.com/datasets

Kaggle: rkuo2000/Birds-Classification

Animes Classification (卡通人物分類)

Dataset: https://www.kaggle.com/datasets/rkuo2000/animes
用Google搜尋照片, 下載卡通人物各約20/30張照片，放入資料夾animes後，壓縮成animes.zip, 再上傳Kaggle.com/datasets

Kaggle: rkuo2000/Anime-Classification

Worms Classification(害蟲分類)

Dataset: worms4
用Google搜尋照片, 下載各20/30張照片，放入資料夾worms後，壓縮成worms.zip, 再上傳Kaggle.com/datasets

Kaggle: rkuo2000/Worms-Classification

Railway Track Fault Detection (鐵軌故障偵測)

Dataset: Railway Track Fault Detection
Kaggle: rkuo2000/Railtrack-ResNet50v2, rkuo2000/railtrack-efficientnet

Skin Lesion Classification (皮膚病變分類)

Dataset: Skin Cancer MNIST: HAM10000

7 types of lesions : (picture = 600x450)

  • Actinic Keratoses (光化角化病)
  • Basal Cell Carcinoma (基底細胞癌)
  • Benign Keratosis (良性角化病)
  • Dermatofibroma (皮膚纖維瘤)
  • Malignant Melanoma (惡性黑色素瘤)
  • Melanocytic Nevi (黑素細胞痣)
  • Vascular Lesions (血管病變)
    Kaggle: rkuo2000/Skin-Lesion-Classification



This site was last updated October 26, 2025.

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