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Duplicate from yuukicammy/MIT-Adobe-FiveK

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Co-authored-by: Yuki Nagai <yuukicammy@users.noreply.huggingface.co>

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  1. .gitattributes +54 -0
  2. README.md +106 -0
  3. debugging.json +218 -0
  4. testing.json +0 -0
  5. training.json +0 -0
  6. validation.json +0 -0
.gitattributes ADDED
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+ *.7z filter=lfs diff=lfs merge=lfs -text
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+ *.arrow filter=lfs diff=lfs merge=lfs -text
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+ *.bin filter=lfs diff=lfs merge=lfs -text
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+ *.bz2 filter=lfs diff=lfs merge=lfs -text
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+ *.ckpt filter=lfs diff=lfs merge=lfs -text
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+ *.ftz filter=lfs diff=lfs merge=lfs -text
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+ *.gz filter=lfs diff=lfs merge=lfs -text
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+ *.h5 filter=lfs diff=lfs merge=lfs -text
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+ *.joblib filter=lfs diff=lfs merge=lfs -text
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+ *.lfs.* filter=lfs diff=lfs merge=lfs -text
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+ *.lz4 filter=lfs diff=lfs merge=lfs -text
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+ *.mlmodel filter=lfs diff=lfs merge=lfs -text
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+ *.model filter=lfs diff=lfs merge=lfs -text
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+ *.msgpack filter=lfs diff=lfs merge=lfs -text
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+ *.npy filter=lfs diff=lfs merge=lfs -text
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+ *.npz filter=lfs diff=lfs merge=lfs -text
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+ *.onnx filter=lfs diff=lfs merge=lfs -text
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+ *.ot filter=lfs diff=lfs merge=lfs -text
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+ *.parquet filter=lfs diff=lfs merge=lfs -text
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+ *.pb filter=lfs diff=lfs merge=lfs -text
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+ *.pickle filter=lfs diff=lfs merge=lfs -text
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+ *.pkl filter=lfs diff=lfs merge=lfs -text
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+ *.pt filter=lfs diff=lfs merge=lfs -text
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+ *.pth filter=lfs diff=lfs merge=lfs -text
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+ *.rar filter=lfs diff=lfs merge=lfs -text
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+ *.safetensors filter=lfs diff=lfs merge=lfs -text
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+ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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+ *.tar.* filter=lfs diff=lfs merge=lfs -text
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+ *.tflite filter=lfs diff=lfs merge=lfs -text
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+ *.tgz filter=lfs diff=lfs merge=lfs -text
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+ *.wasm filter=lfs diff=lfs merge=lfs -text
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+ *.xz filter=lfs diff=lfs merge=lfs -text
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+ *.zip filter=lfs diff=lfs merge=lfs -text
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+ *.zst filter=lfs diff=lfs merge=lfs -text
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+ *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ # Audio files - uncompressed
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+ *.pcm filter=lfs diff=lfs merge=lfs -text
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+ *.sam filter=lfs diff=lfs merge=lfs -text
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+ *.raw filter=lfs diff=lfs merge=lfs -text
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+ # Audio files - compressed
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+ *.aac filter=lfs diff=lfs merge=lfs -text
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+ *.flac filter=lfs diff=lfs merge=lfs -text
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+ *.mp3 filter=lfs diff=lfs merge=lfs -text
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+ *.ogg filter=lfs diff=lfs merge=lfs -text
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+ *.wav filter=lfs diff=lfs merge=lfs -text
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+ # Image files - uncompressed
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+ *.bmp filter=lfs diff=lfs merge=lfs -text
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+ *.gif filter=lfs diff=lfs merge=lfs -text
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+ *.png filter=lfs diff=lfs merge=lfs -text
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+ *.tiff filter=lfs diff=lfs merge=lfs -text
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+ # Image files - compressed
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+ *.jpg filter=lfs diff=lfs merge=lfs -text
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+ *.jpeg filter=lfs diff=lfs merge=lfs -text
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+ *.webp filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ ---
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+ task_categories:
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+ - image-to-image
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+ tags:
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+ - RAW
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+ - raw
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+ - DNG
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+ - dng
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+ - denoising
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+ - superresolution
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+ - underexposure
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+ - overexpos
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+ pretty_name: fiveK
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+ size_categories:
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+ - 1K<n<10K
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+ ---
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+ # MIT-Adobe FiveK Dataset
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+
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+ The MIT-Adobe FiveK Dataset [[1]]( #references ) is a publicly available dataset providing the following items.
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+ 1. 5,000 RAW images in DNG format
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+ 2. retouched images of each RAW image by five experts in TIFF format (25,000 images, 16 bits per channel, ProPhoto RGB color space, and lossless compression)
22
+ 3. semantic information about each image
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+ The dataset was created by MIT and Adobe Systems, Inc., and is intended to provide a diverse and challenging set of images for testing image processing algorithms. The images were selected to represent a wide range of scenes, including landscapes, portraits, still lifes, and architecture. The images also vary in terms of lighting conditions, color balance, and exposure.
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+ In practice, this dataset is often used after RAW images have undergone various processing steps. For example, RAW images are developed by adding noise, overexposure, and underexposure to emulate camera errors.
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+ However, the officially provided dataset has a complex structure and is difficult to handle. This repository provides tools to easily download and use the datasets.
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+
27
+ ## Official Website
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+
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+ [MIT-Adobe FiveK Dataset](https://data.csail.mit.edu/graphics/fivek/)
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+
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+ ## License
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+
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+ - [LicenseAdobe.txt](https://data.csail.mit.edu/graphics/fivek/legal/LicenseAdobe.txt) covers files listed in [filesAdobe.txt](https://data.csail.mit.edu/graphics/fivek/legal/filesAdobe.txt)
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+ - [LicenseAdobeMIT.txt](https://data.csail.mit.edu/graphics/fivek/legal/LicenseAdobeMIT.txt) covers files listed in [filesAdobeMIT.txt](https://data.csail.mit.edu/graphics/fivek/legal/filesAdobeMIT.txt)
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+
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+ ## Data Samples
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+
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+ |Raw (DNG)|Expert A|Expert B|Expert C|Expert D|Expert E|Categories|Camera Model|
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+ |---|---|---|---|---|---|---|---|
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+ |[a0001-jmac_</br >DSC1459.dng](https://data.csail.mit.edu/graphics/fivek/img/dng/a0001-jmac_DSC1459.dng)|![tiff16_a/a0001-jmac_DSC1459](https://raw.githubusercontent.com/yuukicammy/mit-adobe-fivek-dataset/master/data/thumbnails/a0001-jmac_DSC1459_A.jpg)|![tiff16_b/a0001-jmac_DSC1459](https://raw.githubusercontent.com/yuukicammy/mit-adobe-fivek-dataset/master/data/thumbnails/a0001-jmac_DSC1459_B.jpg)|![tiff16_c/a0001-jmac_DSC1459](https://raw.githubusercontent.com/yuukicammy/mit-adobe-fivek-dataset/master/data/thumbnails/a0001-jmac_DSC1459_C.jpg)|![tiff16_d/a0001-jmac_DSC1459](https://raw.githubusercontent.com/yuukicammy/mit-adobe-fivek-dataset/master/data/thumbnails/a0001-jmac_DSC1459_D.jpg)|![tiff16_e/a0001-jmac_DSC1459](https://raw.githubusercontent.com/yuukicammy/mit-adobe-fivek-dataset/master/data/thumbnails/a0001-jmac_DSC1459_E.jpg)|{"location":"outdoor","time": "day","light": "sun_sky","subject": "nature"}|Nikon D70|
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+ |[a1384-dvf_095.dng](https://data.csail.mit.edu/graphics/fivek/img/dng/a1384-dvf_095.dng)|![tiff16_a/a1384-dvf_095](https://raw.githubusercontent.com/yuukicammy/mit-adobe-fivek-dataset/master/data/thumbnails/a1384-dvf_095_A.jpg)|![tiff16_b/a1384-dvf_095](https://raw.githubusercontent.com/yuukicammy/mit-adobe-fivek-dataset/master/data/thumbnails/a1384-dvf_095_B.jpg)|![tiff16_c/a1384-dvf_095](https://raw.githubusercontent.com/yuukicammy/mit-adobe-fivek-dataset/master/data/thumbnails/a1384-dvf_095_C.jpg)|![tiff16_d/a1384-dvf_095](https://raw.githubusercontent.com/yuukicammy/mit-adobe-fivek-dataset/master/data/thumbnails/a1384-dvf_095_D.jpg)|![tiff16_e/a1384-dvf_095](https://raw.githubusercontent.com/yuukicammy/mit-adobe-fivek-dataset/master/data/thumbnails/a1384-dvf_095_E.jpg)|{ "location": "outdoor", "time": "day", "light": "sun_sky", "subject": "nature" }|Leica M8|
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+ |[a4607-050801_</br >080948__</br >I2E5512.dng](https://data.csail.mit.edu/graphics/fivek/img/dng/a4607-050801_080948__I2E5512.dng)|![tiff16_a/a4607-050801_080948__I2E5512](https://raw.githubusercontent.com/yuukicammy/mit-adobe-fivek-dataset/master/data/thumbnails/a4607-050801_080948__I2E5512_A.jpg)|![tiff16_b/a4607-050801_080948__I2E5512](https://raw.githubusercontent.com/yuukicammy/mit-adobe-fivek-dataset/master/data/thumbnails/a4607-050801_080948__I2E5512_B.jpg)|![tiff16_c/a4607-050801_080948__I2E5512](https://raw.githubusercontent.com/yuukicammy/mit-adobe-fivek-dataset/master/data/thumbnails/a4607-050801_080948__I2E5512_C.jpg)|![tiff16_d/a4607-050801_080948__I2E5512](https://raw.githubusercontent.com/yuukicammy/mit-adobe-fivek-dataset/master/data/thumbnails/a4607-050801_080948__I2E5512_D.jpg)|![tiff16_e/a4607-050801_080948__I2E5512](https://raw.githubusercontent.com/yuukicammy/mit-adobe-fivek-dataset/master/data/thumbnails/a4607-050801_080948__I2E5512_E.jpg)|{ "location": "indoor", "time": "day", "light": "artificial", "subject": "people" }|Canon EOS-1D Mark II|
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+
44
+ # References
45
+
46
+ ```
47
+ @inproceedings{fivek,
48
+ author = "Vladimir Bychkovsky and Sylvain Paris and Eric Chan and Fr{\'e}do Durand",
49
+ title = "Learning Photographic Global Tonal Adjustment with a Database of Input / Output Image Pairs",
50
+ booktitle = "The Twenty-Fourth IEEE Conference on Computer Vision and Pattern Recognition",
51
+ year = "2011"
52
+ }
53
+ ```
54
+
55
+ # Code
56
+
57
+ [GitHub repository](https://github.com/yuukicammy/mit-adobe-fivek-dataset) provides tools to download and use MIT-Adobe FiveK Dataset in a machine learning friendly manner.
58
+ You can download the dataset with a single line of Python code. Also, you can use Pytorch's DetaLoader to iteratively retrieve data for your own use.
59
+ The processing can be easily accomplished with multiprocessing with Pytorch's DataLoader!
60
+
61
+ ## Requirements
62
+ - Python 3.7 or greater
63
+ - Pytorch 2.X
64
+ - tqdm
65
+ - urllib3
66
+
67
+ ## Usage
68
+
69
+ You can use as follows.
70
+
71
+ <span style="color:red">
72
+ NOTE: For DataLoader, MUST set `batch_size` to `None` to disable automatic batching.
73
+ </span>
74
+
75
+ ```python
76
+ from torch.utils.data.dataloader import DataLoader
77
+ from dataset.fivek import MITAboveFiveK
78
+
79
+ metadata_loader = DataLoader(
80
+ MITAboveFiveK(root="path-to-dataset-root", split="train", download=True, experts=["a"]),
81
+ batch_size=None, num_workers=2)
82
+
83
+ for item in metadata_loader:
84
+ # Processing as you want.
85
+ # Add noise, overexpose, underexpose, etc.
86
+ print(item["files"]["dng"])
87
+ ```
88
+
89
+ ## Example
90
+
91
+ Please see [sample code](https://github.com/yuukicammy/mit-adobe-fivek-dataset/blob/master/sample_process.py) .
92
+
93
+ ## API
94
+
95
+ CLASS MITAboveFiveK(torch.utils.data.dataset.Dataset)
96
+ - - -
97
+ MITAboveFiveK(root: str, split: str, download: bool = False, experts: List[str] = None) -> None
98
+
99
+ - root (str):
100
+ The root directory where the MITAboveFiveK directory exists or to be created.
101
+ - split (str):
102
+ One of {'train', 'val', 'test', 'debug'}. 'debug' uses only 9 data contained in 'train'.
103
+ - download (bool):
104
+ If True, downloads the dataset from the official urls. Files that already exist locally will skip the download. Defaults to False.
105
+ - experts (List[str]):
106
+ List of {'a', 'b', 'c', 'd', 'e'}. 'a' means 'Expert A' in the [website](https://data.csail.mit.edu/graphics/fivek/ ). If None or empty list, no expert data is used. Defaults to None.
debugging.json ADDED
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+ {
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+ "a1384-dvf_095": {
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+ "urls": {
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+ "dng": "http://data.csail.mit.edu/graphics/fivek/img/dng/a1384-dvf_095.dng",
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+ "tiff16": {
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+ "a": "http://data.csail.mit.edu/graphics/fivek/img/tiff16_a/a1384-dvf_095.tif",
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+ "b": "http://data.csail.mit.edu/graphics/fivek/img/tiff16_b/a1384-dvf_095.tif",
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+ "c": "http://data.csail.mit.edu/graphics/fivek/img/tiff16_c/a1384-dvf_095.tif",
9
+ "d": "http://data.csail.mit.edu/graphics/fivek/img/tiff16_d/a1384-dvf_095.tif",
10
+ "e": "http://data.csail.mit.edu/graphics/fivek/img/tiff16_e/a1384-dvf_095.tif"
11
+ }
12
+ },
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+ "categories": {
14
+ "location": "outdoor",
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+ "time": "day",
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+ "light": "sun_sky",
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+ "subject": "nature"
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+ },
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+ "id": 1384,
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+ "license": "Adobe",
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+ "camera": {
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+ "make": "Leica",
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+ "model": "M8"
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+ }
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+ },
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+ "a1882-07-11-23-at-17h04m28s-_MG_6574": {
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+ "urls": {
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+ "dng": "http://data.csail.mit.edu/graphics/fivek/img/dng/a1882-07-11-23-at-17h04m28s-_MG_6574.dng",
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+ "tiff16": {
30
+ "a": "http://data.csail.mit.edu/graphics/fivek/img/tiff16_a/a1882-07-11-23-at-17h04m28s-_MG_6574.tif",
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+ "b": "http://data.csail.mit.edu/graphics/fivek/img/tiff16_b/a1882-07-11-23-at-17h04m28s-_MG_6574.tif",
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+ "c": "http://data.csail.mit.edu/graphics/fivek/img/tiff16_c/a1882-07-11-23-at-17h04m28s-_MG_6574.tif",
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+ "d": "http://data.csail.mit.edu/graphics/fivek/img/tiff16_d/a1882-07-11-23-at-17h04m28s-_MG_6574.tif",
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+ "e": "http://data.csail.mit.edu/graphics/fivek/img/tiff16_e/a1882-07-11-23-at-17h04m28s-_MG_6574.tif"
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+ }
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+ },
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+ "categories": {
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+ "location": "outdoor",
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+ "time": "unknown",
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+ "light": "unknown",
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+ "subject": "unknown"
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+ },
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+ "id": 1882,
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+ "license": "AdobeMIT",
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+ "camera": {
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+ "make": "Canon",
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+ "model": "EOS 5D"
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+ }
49
+ },
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+ "a4902-_DGW0251": {
51
+ "urls": {
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+ "dng": "http://data.csail.mit.edu/graphics/fivek/img/dng/a4902-_DGW0251.dng",
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+ "tiff16": {
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+ "a": "http://data.csail.mit.edu/graphics/fivek/img/tiff16_a/a4902-_DGW0251.tif",
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+ "b": "http://data.csail.mit.edu/graphics/fivek/img/tiff16_b/a4902-_DGW0251.tif",
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+ "c": "http://data.csail.mit.edu/graphics/fivek/img/tiff16_c/a4902-_DGW0251.tif",
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+ "d": "http://data.csail.mit.edu/graphics/fivek/img/tiff16_d/a4902-_DGW0251.tif",
58
+ "e": "http://data.csail.mit.edu/graphics/fivek/img/tiff16_e/a4902-_DGW0251.tif"
59
+ }
60
+ },
61
+ "categories": {
62
+ "location": "indoor",
63
+ "time": "unknown",
64
+ "light": "artificial",
65
+ "subject": "people"
66
+ },
67
+ "id": 4902,
68
+ "license": "AdobeMIT",
69
+ "camera": {
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+ "make": "Nikon",
71
+ "model": "D700"
72
+ }
73
+ },
74
+ "a1525-jmac_MG_0646": {
75
+ "urls": {
76
+ "dng": "http://data.csail.mit.edu/graphics/fivek/img/dng/a1525-jmac_MG_0646.dng",
77
+ "tiff16": {
78
+ "a": "http://data.csail.mit.edu/graphics/fivek/img/tiff16_a/a1525-jmac_MG_0646.tif",
79
+ "b": "http://data.csail.mit.edu/graphics/fivek/img/tiff16_b/a1525-jmac_MG_0646.tif",
80
+ "c": "http://data.csail.mit.edu/graphics/fivek/img/tiff16_c/a1525-jmac_MG_0646.tif",
81
+ "d": "http://data.csail.mit.edu/graphics/fivek/img/tiff16_d/a1525-jmac_MG_0646.tif",
82
+ "e": "http://data.csail.mit.edu/graphics/fivek/img/tiff16_e/a1525-jmac_MG_0646.tif"
83
+ }
84
+ },
85
+ "categories": {
86
+ "location": "outdoor",
87
+ "time": "day",
88
+ "light": "sun_sky",
89
+ "subject": "nature"
90
+ },
91
+ "id": 1525,
92
+ "license": "Adobe",
93
+ "camera": {
94
+ "make": "Canon",
95
+ "model": "EOS 5D"
96
+ }
97
+ },
98
+ "a4655-20090214_at_00h14m18__78U3080": {
99
+ "urls": {
100
+ "dng": "http://data.csail.mit.edu/graphics/fivek/img/dng/a4655-20090214_at_00h14m18__78U3080.dng",
101
+ "tiff16": {
102
+ "a": "http://data.csail.mit.edu/graphics/fivek/img/tiff16_a/a4655-20090214_at_00h14m18__78U3080.tif",
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+ "b": "http://data.csail.mit.edu/graphics/fivek/img/tiff16_b/a4655-20090214_at_00h14m18__78U3080.tif",
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+ "c": "http://data.csail.mit.edu/graphics/fivek/img/tiff16_c/a4655-20090214_at_00h14m18__78U3080.tif",
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+ "d": "http://data.csail.mit.edu/graphics/fivek/img/tiff16_d/a4655-20090214_at_00h14m18__78U3080.tif",
106
+ "e": "http://data.csail.mit.edu/graphics/fivek/img/tiff16_e/a4655-20090214_at_00h14m18__78U3080.tif"
107
+ }
108
+ },
109
+ "categories": {
110
+ "location": "indoor",
111
+ "time": "unknown",
112
+ "light": "mixed",
113
+ "subject": "people"
114
+ },
115
+ "id": 4655,
116
+ "license": "AdobeMIT",
117
+ "camera": {
118
+ "make": "Canon",
119
+ "model": "EOS-1D Mark III"
120
+ }
121
+ },
122
+ "a0961-WP_Amanda_3rd_bday037": {
123
+ "urls": {
124
+ "dng": "http://data.csail.mit.edu/graphics/fivek/img/dng/a0961-WP_Amanda_3rd_bday037.dng",
125
+ "tiff16": {
126
+ "a": "http://data.csail.mit.edu/graphics/fivek/img/tiff16_a/a0961-WP_Amanda_3rd_bday037.tif",
127
+ "b": "http://data.csail.mit.edu/graphics/fivek/img/tiff16_b/a0961-WP_Amanda_3rd_bday037.tif",
128
+ "c": "http://data.csail.mit.edu/graphics/fivek/img/tiff16_c/a0961-WP_Amanda_3rd_bday037.tif",
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+ "d": "http://data.csail.mit.edu/graphics/fivek/img/tiff16_d/a0961-WP_Amanda_3rd_bday037.tif",
130
+ "e": "http://data.csail.mit.edu/graphics/fivek/img/tiff16_e/a0961-WP_Amanda_3rd_bday037.tif"
131
+ }
132
+ },
133
+ "categories": {
134
+ "location": "outdoor",
135
+ "time": "unknown",
136
+ "light": "unknown",
137
+ "subject": "unknown"
138
+ },
139
+ "id": 961,
140
+ "license": "Adobe",
141
+ "camera": {
142
+ "make": "Canon",
143
+ "model": "EOS 10D"
144
+ }
145
+ },
146
+ "a0432-IMG_4895": {
147
+ "urls": {
148
+ "dng": "http://data.csail.mit.edu/graphics/fivek/img/dng/a0432-IMG_4895.dng",
149
+ "tiff16": {
150
+ "a": "http://data.csail.mit.edu/graphics/fivek/img/tiff16_a/a0432-IMG_4895.tif",
151
+ "b": "http://data.csail.mit.edu/graphics/fivek/img/tiff16_b/a0432-IMG_4895.tif",
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testing.json ADDED
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training.json ADDED
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validation.json ADDED
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