datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
orena-frame-annotations
ORena FOCUS 2026 — FRAME supplementary annotations (public half)
Supplementary VQA annotations produced by MLO-Lab for the ORena FOCUS 2026 FRAME track.
This is the openly releasable half; the LapChole-FOCUS half is withheld under that dataset's
usage agreement until the organisers publish it.
rows
vqa/heico_derived.jsonl — HeiCo-FOCUS
7,608
vqa/hernia_mesh.jsonl — hernia videos
1,350
total
8,958
Also included: raw/hernia_mesh_annotations/ (12 frame-level… See the full description on the dataset page: https://huggingface.co/datasets/Machine-Learning-Oncology/orena-frame-annotations.orena-segment-annotations
ORena FOCUS 2026 — SEGMENT supplementary annotations (public half)
Supplementary VQA annotations produced by MLO-Lab for the ORena FOCUS 2026 SEGMENT
track. This is the openly releasable half; the LapChole-FOCUS half is withheld under that
dataset's usage agreement until the organisers publish it.
rows
vqa/heico_derived.jsonl — HeiCo-FOCUS
1,300
vqa/hernia_mesh.jsonl — hernia videos
140
total
1,440
Also included: raw/hernia_mesh_annotations/ (12 frame-level… See the full description on the dataset page: https://huggingface.co/datasets/Machine-Learning-Oncology/orena-segment-annotations.CattleSSFR
CattleSSFR (cattle single sample face recognition) dataset
The set of 311 cropped single cattle face images comprises the CattleSSFR dataset, which is publicly available. CattleSSFR is the first reported dataset for SSFR containing 311 classes of cattle faces single images. Indicative images from CattleSSFR dataset are illustrated in Fig.2, aiming to demonstrate the diversity of different classes for the problem under study and the challenges related to the SSFR problem, e.g.… See the full description on the dataset page: https://huggingface.co/datasets/MachineLearningVisionRG/CattleSSFR.the-machine-learning-brick© 2025. This work is openly licensed via CC BY-SA 4.0.
Hier liegen die Trainingsdaten des Studienprojekts "Schilderkennung mit Edge Analytics".
Es handelt sich um Bilder von BlueBrixx Schildern, die zum Trainieren von Machine Learning Modellen genutzt werden kann.
Ich möchte die Bilder allen Menschen zur Verfügung stellen, die mit Machine Learning üben und lernen wollen.
Ein Link zum Projektrepository in GitHub folgt später.
Bitte die Lizenz beachten!
colpali_training_machine_learningkirana-tracker-assets