@Abhishek4273 9 months ago
70+ Image classification datasets from different Industry domains - medical, satellite, automobile, fashion, sports - @towards_AI @Medium - https://medium.com/towards-artificial-intelligence/70-image-classification-datasets-from-different-industry-domains-part-2-cd1af6e48eda #100DaysOfCode #100DaysOfMLCode #301DaysOfCode #MachineLearning #github #DataScience #BigData #opensource #AI #DL https://t.co/Up0Z478erg
@Abhishek4273 10 months ago
Tried training an image segmentation model on PanNuke dataset, an Open Pan-Cancer Histology Dataset - https://github.com/Tessellate-Imaging/Monk_Object_Detection/tree/master/application_model_zoo (Ex 51) Data - https://jgamper.github.io/PanNukeDataset/ #100DaysOfCode #100DaysOfMLCode #301DaysOfCode #MachineLearning #Python #git #medical #Cancer #opensource #AI https://t.co/rFQ5JcvZjt
@Abhishek4273 1 year ago
Find the recorded session on "Pneumonia Classification using chest X-Rays" along with the #code here - https://youtu.be/BvB7Ga_l6cI #webinar #100DaysOfCode #301DaysOfCode #100DaysOfMLCode #OpenSource #COVID19outbreak #pytorch #DeepLearning #MachineLearning #MedicalTechnology #ai #git https://t.co/usbiVlhVMQ
@Abhishek4273 1 year ago
Day 191/300 - Experimented with blood cell type classification using monk: https://github.com/Tessellate-Imaging/monk_v1/blob/master/tutorials/Blood%20Cell%20Type%20Classification:%20Understanding%20the%20impact%20of%20depth%20in%20network.ipynb Data credits: https://www.kaggle.com/paultimothymooney/blood-cells #100DaysOfCode #100DaysOfMLCode #301DaysOfCode #medicalimaging #blood #ArtificialIntelligence #DeepLearning #MachineLearning #OpenSource https://t.co/yKoHihkkP1