datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
pad-ufes-20
PAD-UFES-20
This dataset repository mirrors PAD-UFES-20 for reproducible teledermatology
experiments in mlops-teledermatology.
PAD-UFES-20 contains smartphone clinical images of skin lesions plus tabular
metadata. The dataset includes 2,298 images from 1,373 patients and 1,641 skin
lesions. The labels used by this project are:
ACK: Actinic keratosis
BCC: Basal cell carcinoma
MEL: Melanoma
NEV: Nevus
SCC: Squamous cell carcinoma, including Bowen's disease/SCC in situ
SEK: Seborrheic… See the full description on the dataset page: https://huggingface.co/datasets/SalmaneExploring/pad-ufes-20.pad-auto-solver-reviewed
PAD Reviewed Dataset
Canonical reviewed PAD board/orb artifacts for dw-indie/pad-auto-solver-reviewed. This repository
contains immutable reviewed package revisions and does not contain raw captures,
training runs, checkpoints, or model binaries.
Packages exported: 28
Active catalog datasets: 14
Catalog schema: 3
Layout
packages/<dataset_id>.tar: deterministic self-contained reviewed package
catalog.json: active revision heads and coverage summary… See the full description on the dataset page: https://huggingface.co/datasets/dw-indie/pad-auto-solver-reviewed.paddy-disease-classification
Dataset Card for "paddy-disease-classification"
Taken from the Paddy Doctor Kaggle Competition
More Information needed
PADERBORN
Roles
Roles: canon repo — annot is the source label, kept machine-parseable as the gold for verification and reward parsing; there is no filled reasoning column and this repo is not itself a training view. Derived repos each state their own regime on their own card.
Paderborn KAt — bearing race damage from the envelope spectrum (reasoning track)
Part of the AI4Manufacturing FORGE corpus (Category C, task T-C1). Each record is the envelope spectrum of one 4 s… See the full description on the dataset page: https://huggingface.co/datasets/AI4Manufacturing/PADERBORN.PADERBORN-perception
Roles
Roles: perception view of PADERBORN — annot is the source label (healthy / inner_race / outer_race), kept machine-parseable as the gold for verification and reward parsing; the model reads query + image, where the repo ships a bearing's vibration in four image encodings as four equal-sized configs — reshaped (consecutive samples arranged as the rows of a grayscale square), scalogram (a continuous-wavelet time-scale view), spectrogram (a short-time Fourier transform) and… See the full description on the dataset page: https://huggingface.co/datasets/AI4Manufacturing/PADERBORN-perception.PADERBORN-annotated
Roles
Roles: reasoning view of PADERBORN — annot is the source label (healthy / inner_race / outer_race), kept machine-parseable as the gold for verification and reward parsing; the model reads query + image, where the image is an envelope spectrum with the theoretical fault frequencies marked. The reasoning column is filled on all 1,074 records and is the SFT imitation target for this repo; the query enumerates the closed set of labels the answer must come from, and annot… See the full description on the dataset page: https://huggingface.co/datasets/AI4Manufacturing/PADERBORN-annotated.PaddyNet_LCC_classification
Paddynet Lcc Classification
This dataset features field images of paddy crops collected across multiple locations in Bangladesh during the rice growing season (mid-April to late June). Images were captured using handheld RGB cameras on consumer smartphones (Nokia 3 and Samsung S8) and include a mix of real field observations and synthetic augmentations. The dataset contains 2,785 images across 4 classes: 2, 3, 4, 5.Images per class:
2: 692
3: 1,103
4: 513
5: 477
This dataset… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/PaddyNet_LCC_classification.padi_disease_dataset_57k
Dataset Penyakit Tanaman Padi (57k Images) (dataset ini masih sangat kotor. anda mungkin perlu membersihkan atau mengkonfirmasikannya sendiri. Saya sedang capek, malas dan terserah ah!! 🙄🙄🙄)
Deskripsi Dataset
Dataset ini berisi puluhan ribu gambar daun dan batang tanaman padi yang dikelompokkan berdasarkan jenis penyakit atau hama yang menyerangnya, serta kondisi padi yang sehat. Dataset ini sangat ideal untuk melatih model klasifikasi gambar (Image… See the full description on the dataset page: https://huggingface.co/datasets/cloverxion/padi_disease_dataset_57k.PaddyVarietyBD_variety_classification
PaddyVarietyBD Variety Classification
A dataset for variety classification of rice kernels. The dataset contains raw and augmented versions.The raw dataset contains 14,000 images.Images per class:
BD70: 400
Bd30: 400
Bd33: 400
Bd34: 400
Bd49: 400
Bd51: 400
Bd52: 400
Bd56: 400
Bd57: 400
Bd72: 400
Bd75: 400
Bd76: 400
Bd79: 400
Bd85: 400
Bd87: 400
Bd91: 400
Bd93: 400
Bd95: 400
Binadhan07: 400
Binadhan08: 400
Binadhan10: 400
Binadhan11: 400
Binadhan12: 400
Binadhan14: 400… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/PaddyVarietyBD_variety_classification.flux2-klein-face-injection-kyc-idv-pad-benchmark
FLUX.2 Face-Injection Attack Benchmark for KYC / IDV Presentation Attack Detection
5,450 images: identity-preserving synthetic face-injection attacks generated with FLUX.2
klein 4B (Black Forest Labs), paired one-to-one with real bona-fide references and stratified
across 12 demographic cells. Built for evaluating KYC / eKYC onboarding, identity verification
(IDV), passive liveness and document-photo fraud detectors. Capture-condition and background
variants of these same images… See the full description on the dataset page: https://huggingface.co/datasets/danb21/flux2-klein-face-injection-kyc-idv-pad-benchmark.kyc-passport-deepfake-pad-hidream-o1-qwen-image-edit
KYC Passport Deepfake / Presentation-Attack Benchmark
HiDream-O1 · Qwen-Image-Edit · 23 document-reproduction conditions
A presentation-attack detection (PAD) evaluation set for identity-document face
imagery: real reference faces and generator-attributed synthetic faces, each carried
through 23 acquisition conditions that emulate how a passport photo actually reaches a
KYC system: print and scan, photocopy, fax, phone recapture, JPEG chains, and
background… See the full description on the dataset page: https://huggingface.co/datasets/danb21/kyc-passport-deepfake-pad-hidream-o1-qwen-image-edit.paddy-disease-classification
Dataset Card for "paddy-disease-classification"
Taken from the Paddy Doctor Kaggle Competition
More Information needed