0xnu/skincare-detection
Image Classification • Updated • 232 • 1
disease_label stringclasses 184
values | image_filename stringlengths 5 123 | image_path stringlengths 15 149 | image_data unknown | original_width int64 38 6.69k | original_height int64 29 8.19k | processed_width int64 224 224 | processed_height int64 224 224 | channels int64 3 3 | file_size_bytes int64 915 33.7M | compressed_size_bytes int64 1.68k 33.7k |
|---|---|---|---|---|---|---|---|---|---|---|
pityriasis-rosea | 83.jpg | data/pityriasis-rosea/83.jpg | [
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melanoma | ISIC_0014546_downsampled.jpg | data/melanoma/ISIC_0014546_downsampled.jpg | [
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benign-keratosis-like-lesions-bkl | gaussian_noise_ISIC_0028496.jpg | data/benign-keratosis-like-lesions-bkl/gaussian_noise_ISIC_0028496.jpg | [
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lichen-planus | lichen-planus-nail-056__ProtectWyJQcm90ZWN0Il0_FocusFillWzI5NCwyMjIsIngiLDFd.jpeg | data/lichen-planus/lichen-planus-nail-056__ProtectWyJQcm90ZWN0Il0_FocusFillWzI5NCwyMjIsIngiLDFd.jpeg | [
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eczema | 6_228.jpg | data/eczema/6_228.jpg | [
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benign-keratosis-like-lesions-bkl | ISIC_0025656.jpg | data/benign-keratosis-like-lesions-bkl/ISIC_0025656.jpg | [
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lichen-planus | shear_3799.jpg | data/lichen-planus/shear_3799.jpg | [
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melanocytic-nevi-nv | ISIC_0062429.jpg | data/melanocytic-nevi-nv/ISIC_0062429.jpg | [
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squamous-cell-carcinoma | 78.jpg | data/squamous-cell-carcinoma/78.jpg | [
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enfeksiyonel | tinea-beard-8.jpg | data/enfeksiyonel/tinea-beard-8.jpg | [
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tungiasis | brightness_contrast_img_85.jpg | data/tungiasis/brightness_contrast_img_85.jpg | [
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warts-molluscum-and-other-viral-infections | 3_11.jpg | data/warts-molluscum-and-other-viral-infections/3_11.jpg | [
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melanocytic-nevi-nv | ISIC_0057626.jpg | data/melanocytic-nevi-nv/ISIC_0057626.jpg | [
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End of preview. Expand in Data Studio
Key Features
- Images are stored as binary data (more efficient than base64)
- Standard 224×224 resizing for ML compatibility
- Automatic RGB conversion for consistency
- Both original and processed dimensions tracked
Data Structure:
disease_label: disease_name, # String - Disease classification/nameimage_filename: image_file.name, # String - Original filenameimage_path: str(image_file), # String - Full path to original imageimage_data: img_bytes, # Bytes - Raw JPEG image bytesoriginal_width: original_width, # Int - Source image width in pixelsoriginal_height: original_height, # Int - Source image height in pixelsprocessed_width: img.width, # Int - Final processed image widthprocessed_height: img.height, # Int - Final processed image heightchannels: len(img.getbands()), # Int - Number of color channels (3 for RGB)file_size_bytes: image_file.stat().st_size, # Int - Original file sizecompressed_size_bytes: len(img_bytes) # Int - Compressed JPEG size
Copyright
(c) Copyright 2025 Finbarrs Oketunji. All Rights Reserved.
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Models trained or fine-tuned on 0xnu/skincare