The Dataset Viewer has been disabled on this dataset.
As of now, the dataset doesn't include any image captions (useful for image search, text-to-image models, or VLMs).
Upon request (open a Community Discussion on this repository), I'll generate those and publish them here.
Contents
IMG2025
IMG2025 is a dataset totalling 275 images (or exactly 29.7B pixels) shot using a Redmi 13's 108MP (9000x12000 / 12000x9000) camera. Images can be dated to roughtly 2025's winter, and meta/EXIF-data wasn't removed. The EXIF data can be extracted from those images, giving you information like the ISO, focal length, aperture, exposure and flash.
Example Images
- camera/IMG_20251121_131751.jpg
- camera/IMG_20251114_073820.jpg
- camera/IMG_20251121_074640.jpg
- camera/IMG_20251119_184901.jpg
- camera/IMG_20251016_190408.jpg
- camera/IMG_20251129_145148.jpg
- camera/IMG_20251226_155654.jpg
- camera/IMG_20251129_160739.jpg
Usage
1. Download Data
Since each image contains 108MP, the dataset is ~2.5GB in raw file size. Downloading may take some time.
The example below uses Python, but, obviously, you can download the dataset using any reasonable programming/scripting language.
(Advice in case you're slow mentally: copy and paste the constants if you're using another language)
from requests import get
from os import makedirs
# FILENAMES contains all 275 filenames
FILENAMES = ['IMG_20251016_190408', 'IMG_20251021_071743', 'IMG_20251022_073645', 'IMG_20251024_071516', 'IMG_20251024_133011', 'IMG_20251024_201039', 'IMG_20251031_072528', 'IMG_20251031_172920', 'IMG_20251031_173102', 'IMG_20251101_104537', 'IMG_20251101_121614', 'IMG_20251101_205418', 'IMG_20251106_205550', 'IMG_20251106_214602', 'IMG_20251111_131801', 'IMG_20251114_073820', 'IMG_20251115_115202', 'IMG_20251115_171105', 'IMG_20251117_174410', 'IMG_20251117_174424', 'IMG_20251117_174500', 'IMG_20251117_174516', 'IMG_20251117_174531', 'IMG_20251117_174536', 'IMG_20251117_174805', 'IMG_20251117_174814', 'IMG_20251117_180749', 'IMG_20251117_182316', 'IMG_20251117_182336', 'IMG_20251117_185117', 'IMG_20251117_190911', 'IMG_20251117_202059', 'IMG_20251117_202113', 'IMG_20251117_202155', 'IMG_20251117_202223', 'IMG_20251117_205944', 'IMG_20251118_072246', 'IMG_20251118_072316', 'IMG_20251118_073050', 'IMG_20251118_073102', 'IMG_20251118_142457', 'IMG_20251118_152105', 'IMG_20251118_152534', 'IMG_20251118_153210', 'IMG_20251118_153211', 'IMG_20251118_153213', 'IMG_20251118_153537', 'IMG_20251119_184753', 'IMG_20251119_184850', 'IMG_20251119_184901', 'IMG_20251119_184915', 'IMG_20251119_185142', 'IMG_20251119_185237', 'IMG_20251119_205954', 'IMG_20251120_072050', 'IMG_20251120_131818', 'IMG_20251120_132620', 'IMG_20251120_132845', 'IMG_20251120_143300', 'IMG_20251120_184928', 'IMG_20251120_185035', 'IMG_20251120_185212', 'IMG_20251121_074440', 'IMG_20251121_074640', 'IMG_20251121_131751', 'IMG_20251121_131947', 'IMG_20251121_132256', 'IMG_20251121_132936', 'IMG_20251121_133910', 'IMG_20251122_075520', 'IMG_20251122_110756', 'IMG_20251122_110826', 'IMG_20251122_161131', 'IMG_20251122_165410', 'IMG_20251122_165508', 'IMG_20251122_170106', 'IMG_20251122_171747', 'IMG_20251122_171828', 'IMG_20251122_172352', 'IMG_20251122_172607', 'IMG_20251122_172815', 'IMG_20251122_172852', 'IMG_20251122_173108', 'IMG_20251122_174732', 'IMG_20251122_175034', 'IMG_20251122_175131', 'IMG_20251122_175421', 'IMG_20251122_175612', 'IMG_20251123_133011', 'IMG_20251123_193529', 'IMG_20251124_073248', 'IMG_20251124_073830', 'IMG_20251124_074131', 'IMG_20251124_074205', 'IMG_20251124_074231', 'IMG_20251124_131715', 'IMG_20251124_132738', 'IMG_20251124_133255', 'IMG_20251124_133555', 'IMG_20251124_154400', 'IMG_20251124_185802', 'IMG_20251124_210525', 'IMG_20251125_071853', 'IMG_20251125_072354', 'IMG_20251125_072404', 'IMG_20251125_072426', 'IMG_20251125_160132', 'IMG_20251125_175017', 'IMG_20251125_175354', 'IMG_20251126_073455', 'IMG_20251126_133746', 'IMG_20251126_152416', 'IMG_20251126_152756', 'IMG_20251126_152758', 'IMG_20251126_204904', 'IMG_20251126_210508', 'IMG_20251126_210512', 'IMG_20251126_210514', 'IMG_20251126_210520', 'IMG_20251127_131718', 'IMG_20251127_132320', 'IMG_20251127_132653', 'IMG_20251127_132704', 'IMG_20251127_132734', 'IMG_20251127_132839', 'IMG_20251127_132844', 'IMG_20251127_132909', 'IMG_20251127_141728', 'IMG_20251127_164137', 'IMG_20251127_164142', 'IMG_20251127_190919', 'IMG_20251127_190923', 'IMG_20251128_072403', 'IMG_20251128_072615', 'IMG_20251128_132247', 'IMG_20251129_145114', 'IMG_20251129_145141', 'IMG_20251129_145148', 'IMG_20251129_145215', 'IMG_20251129_145645', 'IMG_20251129_150024', 'IMG_20251129_150039', 'IMG_20251129_151924', 'IMG_20251129_153741', 'IMG_20251129_153831', 'IMG_20251129_154043', 'IMG_20251129_154251', 'IMG_20251129_154657', 'IMG_20251129_154744', 'IMG_20251129_160739', 'IMG_20251201_071338', 'IMG_20251202_152652', 'IMG_20251202_225910', 'IMG_20251203_135305', 'IMG_20251205_203905', 'IMG_20251206_134437', 'IMG_20251206_153252', 'IMG_20251206_160707', 'IMG_20251206_162430', 'IMG_20251206_215535', 'IMG_20251206_215555', 'IMG_20251206_221200', 'IMG_20251206_221455', 'IMG_20251206_221510', 'IMG_20251206_221534', 'IMG_20251206_221552', 'IMG_20251206_221741', 'IMG_20251206_221800', 'IMG_20251206_221821', 'IMG_20251206_221903', 'IMG_20251206_221923', 'IMG_20251206_222006', 'IMG_20251206_222030', 'IMG_20251206_222115', 'IMG_20251206_222118', 'IMG_20251206_222247', 'IMG_20251206_222422', 'IMG_20251206_222453', 'IMG_20251206_222506', 'IMG_20251206_222635', 'IMG_20251206_222639', 'IMG_20251206_222808', 'IMG_20251206_222812', 'IMG_20251206_222836', 'IMG_20251206_222846', 'IMG_20251206_222927', 'IMG_20251206_222939', 'IMG_20251206_223010', 'IMG_20251206_223015', 'IMG_20251206_223040', 'IMG_20251206_223110', 'IMG_20251206_223657', 'IMG_20251206_223705', 'IMG_20251206_223953', 'IMG_20251206_224458', 'IMG_20251206_225239', 'IMG_20251206_225301', 'IMG_20251209_072422', 'IMG_20251209_072425', 'IMG_20251209_073416', 'IMG_20251209_073423', 'IMG_20251218_090323', 'IMG_20251218_142622', 'IMG_20251222_195107', 'IMG_20251222_195901', 'IMG_20251223_172911', 'IMG_20251223_173010', 'IMG_20251223_173209', 'IMG_20251224_225344', 'IMG_20251225_184917', 'IMG_20251226_144825', 'IMG_20251226_144846', 'IMG_20251226_144908', 'IMG_20251226_144915', 'IMG_20251226_144932', 'IMG_20251226_150344', 'IMG_20251226_150347', 'IMG_20251226_150722', 'IMG_20251226_150728', 'IMG_20251226_152903', 'IMG_20251226_152918', 'IMG_20251226_153600', 'IMG_20251226_153617', 'IMG_20251226_153633', 'IMG_20251226_153658', 'IMG_20251226_153702', 'IMG_20251226_153707', 'IMG_20251226_153741', 'IMG_20251226_153756', 'IMG_20251226_153904', 'IMG_20251226_153909', 'IMG_20251226_154027', 'IMG_20251226_154030', 'IMG_20251226_154040', 'IMG_20251226_154153', 'IMG_20251226_154214', 'IMG_20251226_154246', 'IMG_20251226_154546', 'IMG_20251226_154607', 'IMG_20251226_155220', 'IMG_20251226_155421', 'IMG_20251226_155629', 'IMG_20251226_155654', 'IMG_20251226_155742', 'IMG_20251226_155927', 'IMG_20251226_160016', 'IMG_20251226_160032', 'IMG_20251226_160110', 'IMG_20251226_160123', 'IMG_20251226_160141', 'IMG_20251226_160215', 'IMG_20251226_160234', 'IMG_20251226_160452', 'IMG_20251226_160457', 'IMG_20251226_162059', 'IMG_20251226_162110', 'IMG_20251226_162410', 'IMG_20251226_162511', 'IMG_20251226_162516', 'IMG_20251226_162535', 'IMG_20251226_162605', 'IMG_20251226_162647', 'IMG_20251226_163524', 'IMG_20251226_163528', 'IMG_20251226_164204', 'IMG_20251226_164209', 'IMG_20251226_175420', 'IMG_20251226_175428', 'IMG_20251226_180114', 'IMG_20251226_180122', 'IMG_20251226_181422', 'IMG_20251226_181426', 'IMG_20251226_181509', 'IMG_20251226_182226', 'IMG_20251227_190821']
BASE_URL = "https://huggingface.co/datasets/hamzah0asadullah/IMG2025/resolve/main/camera/"
EXTENSION = ".jpg" # URL = BASE_URL + FILENAMES[x] + EXTENSION
makedirs("./camera", exist_ok=True)
for filename in FILENAMES:
URL = BASE_URL + filename + EXTENSION
print(">> Downloading", filename)
cont = False
while not cont:
try:
img = get(URL)
open("./camera/" + filename + EXTENSION, "wb").write(img.content)
cont = True
except Exception as e:
print(">> Retrying", filename, "|", str(e))
print(">> Done.")
2. Load Data
After downloading all images to your storage, you can load and further process them as you like (finetuning ML-models, analyze them, whatsoever):
from os import listdir
FOLDER = "camera"
FILENAMES = listdir(f"./{FOLDER}/")
# images can take ~2.5GB
images = [open(f"./{FOLDER}/{filename}", "rb").read() for filename in FILENAMES]
# example: save first image to img.jpg
open("img.jpg", "wb").write(images[0])
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