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Related Objects of Interest: scratch , fiber , ring , sensor , probe , spherical-porosity , un-melted particle , dark corner , damage , bridge
Top Particle Datasets and Models
The datasets below can be used to train fine-tuned models for particle 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 particle datasets below.
354 images 23 classes 1 model
0 1 2 23 3 4 5 6 7 8 9 A defect will be classified as Bump Defect if : A defect will be classified as Bump surface damage if : A defect will be classified as Die top sise chip/peeling if : A defect will be classified as Frontside Defect if : A defect will be classified as Particle if : Area(um2) is greater than or equal to Brightness is between Defects will be classified in the following order: Size(um) is greater than or equal to
77 images 6 classes 2 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
495 images 3 classes
2.1k images 93 classes