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Top Lung Datasets and Models
The datasets below can be used to train fine-tuned models for lung detection. You can explore each dataset in your browser using Roboflow and export the dataset into one of many formats.
At the bottom of this page, we have guides on how to train a model using the lung datasets below.
67 images 8 classes 2 models
301 images 21 classes 1 model
left fencer lower body no touch light (left) no touch light (right) right fencer strip successful fleche (left) successful fleche light (left) successful lung (left) successful lunge (right) successful lunge light (left) successful lunge light (right) touch light (right) u unsuccessful fleche (left) unsuccessful fleche light (left) unsuccessful lunge (left) unsuccessful lunge (right) unsuccessful lunge light (left) unsuccessful lunge light (right)
331 images 41 classes 4 models
67 images 88 classes 1 model
CD 45 negetive CD 99 negetive CK 20 negativity CK 5/CK6 positivity CK 7 positivity Chlamydial infection Cockleburrs Congo red stain Elastic van Gieson stain Fite acid-fast stain Fouchet’s stain Freezing artefact of the tissue Grunwald Giemsa stained smear Her-2/neu immunostain Large hole in the tissue Masson trichrome stain Methenamine silver stain Mucus secreting endocervical columnar cells NSE positivity Oestrogen Receptor
2.3k images 4 classes
148 images 18 classes
bronchiectasis consolidation copd-emphysema costophrenic angle blunting emphysema fluid overload-heart failure granulomatous disease granulomatous disease（肉芽肿性疾病） interstitial lung disease lung cancer lung tumor-tumorlike lesions of the lung mass-nodulenot otherwise specified parenchymal scarring peural thickening peural thickening（胸膜增厚） pleural effusion pneumonia pneumonia（肺炎）