Bakkhali River — Tidal Cycle Pairs
2,000 paired images: same exact location at High Tide vs Low Tide. The only dataset of its kind for hydrological AI and waterline segmentation.
Captured daily tidal cycles at Bakkhali River, Cox's Bazar, Bangladesh · 2023–2025
One-time payment · Commercial AI license included
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Dataset Specifications
Dataset Preview — High Tide vs Low Tide
Each paired image shows the same location at High Tide and Low Tide. Full-resolution files delivered upon purchase.
Annotation Visualization
Waterline Segmentation Overlay
Each image includes waterline segmentation masks for hydrological AI models.
Load COCO JSON — Python
import json import cv2 import numpy as np # Load COCO annotations with open('tidal_annotations.json') as f: coco = json.load(f) # Get image info img_info = coco['images'][0] print(f"Image: {img_info['file_name']}, {img_info['width']}x{img_info['height']}") # Get waterline annotations waterline_anns = [ann for ann in coco['annotations'] if ann['category_id'] == 1] print(f"Waterline segments: {len(waterline_anns)}")
Ready-to-use with waterline segmentation and hydrological AI models.
Who Is This Dataset For?
Hydrological Modelers
Tidal dynamics and waterline change detection for river and coastal hydrology.
Waterline Segmentation AI
Train models to detect water boundaries from paired high/low tide images.
Flood Forecasting AI
Tidal cycle data for flood risk assessment and early warning systems.
Need Custom Classes or Locations?
As a PMP®, I run 30‑day Data Sprints in coastal Bangladesh. You define the objects, locations, and time. My team delivers production-ready datasets.
Get Your Free Sample Dataset
50 paired images from Bakkhali River. Test with your model before buying.
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Contributor Partner of
Golam Rob (PMP®) – Authorized contributor across global visual marketplaces.