datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
amfitrite-inland-waters-hab-sentinel2
Dataset Card for Amfitrite-Inland-Waters-HAB-Sentinel2
This dataset contains multispectral Sentinel-2 satellite imagery tiles focused on inland water bodies, classified by the severity of Harmful Algal Blooms (HABs).
It is designed to train Deep Learning models (like CNNs) for environmental monitoring.
Dataset Details
Dataset Description
Amfitrite-Inland-Waters-HAB-Sentinel2 is a specialized dataset designed for the detection and classification of… See the full description on the dataset page: https://huggingface.co/datasets/kostaspic/amfitrite-inland-waters-hab-sentinel2.wildlife-sentinel
Wildlife Sentinel
Wildlife Sentinel is the public Hugging Face dataset package for the Savanna Sentinel project: a multimodal, tool-grounded biodiversity monitoring dataset built from Snapshot Serengeti camera-trap events and public environmental layers.
This Hub package intentionally contains the train, validation, and evaluation components only, plus supporting artifacts needed to understand and reproduce those splits. Demo replay inputs, hidden demo labels, raw source caches… See the full description on the dataset page: https://huggingface.co/datasets/Alfaxad/wildlife-sentinel.amfitrite-open-waters-hab-sentinel2
Dataset Card for Amfitrite-Open-Waters-HAB-Sentinel2
This dataset contains multispectral Sentinel-2 satellite imagery tiles focused on open water and coastal marine environments, classified by the potential presence of Harmful Algal Blooms (HABs).
It is designed to train Machine or Deep Learning models (like CNNs) for large-scale environmental monitoring and ocean anomaly detection.
Dataset Details
Dataset Description
Amfitrite-Open-Waters-HAB-Sentinel2 is a… See the full description on the dataset page: https://huggingface.co/datasets/kostaspic/amfitrite-open-waters-hab-sentinel2.sentinel-lfm-mining-patches
sentinel-lfm — illegal-mining single-frame patches
128px RGB patches cropped from the Roboflow illegal-mining dataset, labelled
mine (1) / no-mine (0). Split by source image (no leakage) into
train/val/test. Provided as PNGs + vlm_sft-format JSONL (one image + prompt
-> JSON answer) so it drops straight into VLM fine-tuning.
split
pos
neg
total
train
1410
555
1965
val
303
66
369
test
303
116
419
RGB only (no multispectral). Each JSONL row is a single-turn VLM… See the full description on the dataset page: https://huggingface.co/datasets/ASTRALK/sentinel-lfm-mining-patches.