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01dgorbatov /vlmn_tartandrive100_scand50_coda25_spot100_sub5_full_augmentation_processed_10 Trajectory Ranking Dataset This dataset contains trajectory ranking results for autonomous navigation scenarios. Dataset Statistics Total examples: 39558 Chunks processed: 40 Upload date: 2025-09-13T00:44:30.335177 Features Image data with terrain analysis Trajectory rankings and reasoning Quality and diversity analysis Terrain and trajectory descriptions imageimage-classification10K<n<100K0 likes745 downloads1y agoHugging Face02geraldmc /plantvillage-full PlantVillage (full) A curated re-release of the PlantVillage plant-disease image dataset (Mohanty, Hughes, Salathé 2016), with structured per-image metadata and a leaf-grouped train/test split. Built for the iResearch Institute 2026 Virtual Lab mentorship's Rationale 2 track. The companion debug-grade subset is at geraldmc/plantvillage-tiny. What's in this dataset 54,304 images of plant leaves, photographed against plain backgrounds under controlled lighting, across… See the full description on the dataset page: https://huggingface.co/datasets/geraldmc/plantvillage-full.imageimage-classification10K<n<100K0 likes690 downloads4mo agoHugging Face03animetimm /pexels-tagger-v0-w640-ws-fullgated Pexels Tagger V0 Webdataset Full Dataset This is the webdataset dataset for animetimm/pexels-wdtagger-w640. Images here are resized to min(width, height) <= 640. How to Use It from datasets import load_dataset dataset = load_dataset('animetimm/pexels-tagger-v0-w640-ws-full') print(dataset["train"][0]) Images 3122908 images in total. Split Image Count Total Size train 2810634 184 GB test 156409 10.2 GB val 155865 10.2 GB Tags… See the full description on the dataset page: https://huggingface.co/datasets/animetimm/pexels-tagger-v0-w640-ws-full.imageimage-classification1M<n<10M1 likes671 downloads11mo agoHugging Face04geraldmc /plantdoc-full PlantDoc — full variant A curated mirror of the PlantDoc plant disease classification dataset (Singh et al. 2020), with normalized class metadata and a stable schema, hosted as a Hugging Face Dataset for reproducible distribution. The companion plantdoc-tiny variant is a 164-image stratified subsample of this dataset for fast test-suite use. PlantDoc was built to address a specific failure mode in earlier plant disease datasets like PlantVillage: lab-condition images don't predict… See the full description on the dataset page: https://huggingface.co/datasets/geraldmc/plantdoc-full.imageimage-classification1K<n<10K0 likes341 downloads4mo agoHugging Face05aiacademy-kg /house_kg_full_dataset house.kg — Kyrgyzstan Real Estate (multimodal) A complete snapshot of house.kg, the largest real-estate board in Kyrgyzstan: every sale and rental listing, with coordinates, prices, seller identities, agency ratings, reviews — and 227,294 photographs. Field names are English; values are kept in the original language (Russian/Kyrgyz), exactly as the site renders them. 💻 Scraper source code on GitHub → The complete, open scraper that produced this dataset —… See the full description on the dataset page: https://huggingface.co/datasets/aiacademy-kg/house_kg_full_dataset.imagetabular-regression100K<n<1M0 likes318 downloads2mo agoHugging Face06dcskycam /full-scene DCSkyCam Full-Scene Wide-Angle Dataset This dataset contains full-frame wide-angle images captured by the DCSkyCam — a Raspberry Pi-based webcam in Washington, DC. The images show the full camera field of view as captured by the HQ Camera module with a wide-angle lens. Dataset Description The DCSkyCam system used a three-stage detection pipeline: Object Detection (SSD MobileNet V3) identifies candidate objects in the sky Binary Classifier determines if a… See the full description on the dataset page: https://huggingface.co/datasets/dcskycam/full-scene.imageimage-classification1K<n<10K0 likes152 downloads2mo agoHugging Face07datapointai /text-2-image-dpo-human-preferences-fullgated Text-2-Image DPO Human Preferences (Full) The complete human preference dataset for text-to-image generation. 416,360 pairwise judgments from ~20,000 annotators comparing AI-generated images across two evaluation dimensions: prompt alignment and overall preference. This is the full, unfiltered version with uniform vote weights. For quality-filtered subsets with calibrated annotator weighting, see: datapointai/text-2-image-dpo-human-preferences (5,000 pairs, trust-weighted)… See the full description on the dataset page: https://huggingface.co/datasets/datapointai/text-2-image-dpo-human-preferences-full.imageimage-classification10K<n<100K1 likes87 downloads6mo agoHugging Face08aiacademy-kg /house_kg_full_dataset_frames house.kg — Kyrgyzstan Real Estate, over time Sale and rental listings scraped from house.kg, the largest real-estate board in Kyrgyzstan, re-measured on a schedule. Field names are English; values are kept in the original language (Russian), exactly as the site renders them. Coverage: 2026-09-08. This is the baseline snapshot; later runs append new partitions. Subsets subset rows description listings 25,264 one row per advertisement — current state plus… See the full description on the dataset page: https://huggingface.co/datasets/aiacademy-kg/house_kg_full_dataset_frames.imagetabular-regression100K<n<1M0 likes66 downloads17d agoHugging Face09bumbledeep /smdg-full-dataset Dataset Card for Dataset Name All the images of the dataset come from this kaggle dataset. Only fundus images have been collected and some minor modifications have been made to the metadata. All credit goes to the original authors and the contributor on Kaggle. Dataset Details Dataset Description Standardized Multi-Channel Dataset for Glaucoma (SMDG-19) is a collection and standardization of 19 public datasets, comprised of full-fundus glaucoma images and… See the full description on the dataset page: https://huggingface.co/datasets/bumbledeep/smdg-full-dataset.imageimage-classification10K<n<100K0 likes53 downloads1y agoHugging Face10MING-ZCH /TFQ-Data-Full TFQ-Data: A Fine-Grained Dataset for Image Implication TFQ-Data is a large-scale visual instruction tuning dataset specifically designed to train Multi-modal Large Language Models (MLLMs) on Image Implication and Metaphorical Reasoning. Unlike standard VQA datasets that focus on literal description, TFQ-Data utilizes a True-False Question (TFQ) format. This format provides high knowledge density and verifiable reward signals, making it an ideal substrate for Visual Reinforcement… See the full description on the dataset page: https://huggingface.co/datasets/MING-ZCH/TFQ-Data-Full.imagevisual-question-answering10K<n<100K1 likes39 downloads8mo agoHugging Face11DownFlow /fuliji FuliJi (福利姬) Portrait Dataset A dataset of Asian portrait photographs for fine-tuning Vision-Language Models. Statistics Metric Value Total Images 222 Unique Artists (福利姬) 222 Bilingual Descriptions ✅ EN + ZH Schema Column Type Description image image Portrait photograph fuliji string Artist name (福利姬) gallery string Photo set/collection name text_en string English description text_zh string Chinese description… See the full description on the dataset page: https://huggingface.co/datasets/DownFlow/fuliji.imageimage-classificationn<1K0 likes31 downloads6mo agoHugging Face12MING-ZCH /TFQ-Bench-Full TFQ-Bench: A Benchmark for Evaluating Image Implication Understanding TFQ-Bench is a rigorous evaluation benchmark designed to assess the capabilities of MLLMs in understanding visual metaphors, sarcasm, and implicit meanings via True-False Questions. It serves as a complement to existing benchmarks like II-Bench (Multiple-Choice Question) and CII-Bench (Open-Style Question), offering a lower-bound difficulty check that tests a model's ability to verify specific propositions about… See the full description on the dataset page: https://huggingface.co/datasets/MING-ZCH/TFQ-Bench-Full.imagevisual-question-answering10K<n<100K1 likes29 downloads8mo agoHugging Face13deepghs /reddit_mostlyhumans_fullgated Reddit Mostly-Humans Full Dataset This is the full dataset of reddit_mostlyhumans dataset. And all the original images are maintained here. Thanks to the contribution of a certain third-party data provider who wishes to remain anonymous. Information Images There are 3863451 images in total. The maximum ID of these images is 3863571. Last updated at 2024-10-26 17:18:31 UTC. These are the information of recent 50 images: id filename width height mimetype… See the full description on the dataset page: https://huggingface.co/datasets/deepghs/reddit_mostlyhumans_full.imageimage-classification1M<n<10M28 likes23 downloads2y agoHugging Face14deepghs /midjourney_captioned_23m_fullgated Midjourney Captioned Full Dataset This is the full dataset of Midjourney Captioned 23M dataset. And all the original images are maintained here. Thanks to the contribution of a certain third-party data provider who wishes to remain anonymous. Information Images There are 23167456 images in total. The maximum ID of these images is 23167456. Last updated at 2024-12-01 12:11:43 UTC. These are the information of recent 50 images: id width height filename… See the full description on the dataset page: https://huggingface.co/datasets/deepghs/midjourney_captioned_23m_full.imageimage-classification10M<n<100M36 likes21 downloads2y agoHugging Face15zujiguts /skin-lesion-trainOne-full Skin Lesion Dataset — trainOne Full All 7 HAM10000 classes including Melanocytic Nevi (nv). Source: ISIC 2018 Challenge Task 3. Code Description Count nv Melanocytic Nevi (benign) 5000 mel Melanoma (deadly) 1113 bkl Benign Keratosis 1099 bcc Basal Cell Carcinoma (cancer) 514 akiec Actinic Keratosis (monitor) 327 vasc Vascular Lesions 142 df Dermatofibroma 115 Total: 8,310 images Load: from datasets import load_dataset ds =… See the full description on the dataset page: https://huggingface.co/datasets/zujiguts/skin-lesion-trainOne-full.imageimage-classification1K<n<10K0 likes17 downloads7mo agoHugging Face16Fullfix /cifar10-stats CIFAR-10 CNN Layerwise Training Statistics Dataset Description This dataset contains layer-wise training statistics for a convolutional network trained on CIFAR-10, together with the corresponding test/acc. Each row is one point at loss landscape. The features are computed on the last training batch of 1024 samples before the end of an epoch, and test/acc is measured immediately after that epoch. The dataset includes statistics for several convolutional layers and the… See the full description on the dataset page: https://huggingface.co/datasets/Fullfix/cifar10-stats.tabularimage-classificationn<1K0 likes15 downloads6mo agoHugging Face

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