Hugging Face's logo

Datasets:
biglam
/
european_art

Tasks:
Object Detection
Image Classification
Size:
10K<n<100K
ArXiv:
Tags:
lam
art
historical
License:
Dataset card Files Community
2
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Update README.md

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README.md CHANGED
@@ -1,253 +1,253 @@
1
  ---
2
  dataset_info:
3
- - config_name: raw
4
- features:
5
- - name: image
6
- dtype: image
7
- - name: source
8
- dtype: string
9
- - name: width
10
- dtype: int16
11
- - name: height
12
- dtype: int16
13
- - name: dept
14
- dtype: int8
15
- - name: segmented
16
- dtype: int8
17
- - name: objects
18
- list:
19
- - name: name
20
- dtype:
21
- class_label:
22
- names:
23
- "0": zebra
24
- "1": tree
25
- "2": nude
26
- "3": crucifixion
27
- "4": scroll
28
- "5": head
29
- "6": swan
30
- "7": shield
31
- "8": lily
32
- "9": mouse
33
- "10": knight
34
- "11": dragon
35
- "12": horn
36
- "13": dog
37
- "14": palm
38
- "15": tiara
39
- "16": helmet
40
- "17": sheep
41
- "18": deer
42
- "19": person
43
- "20": sword
44
- "21": rooster
45
- "22": bear
46
- "23": halo
47
- "24": lion
48
- "25": monkey
49
- "26": prayer
50
- "27": crown of thorns
51
- "28": elephant
52
- "29": zucchetto
53
- "30": unicorn
54
- "31": holy shroud
55
- "32": cat
56
- "33": apple
57
- "34": banana
58
- "35": chalice
59
- "36": bird
60
- "37": eagle
61
- "38": pegasus
62
- "39": crown
63
- "40": camauro
64
- "41": saturno
65
- "42": arrow
66
- "43": dove
67
- "44": centaur
68
- "45": horse
69
- "46": hands
70
- "47": skull
71
- "48": orange
72
- "49": monk
73
- "50": trumpet
74
- "51": key of heaven
75
- "52": fish
76
- "53": cow
77
- "54": angel
78
- "55": devil
79
- "56": book
80
- "57": stole
81
- "58": butterfly
82
- "59": serpent
83
- "60": judith
84
- "61": mitre
85
- "62": banner
86
- "63": donkey
87
- "64": shepherd
88
- "65": boat
89
- "66": god the father
90
- "67": crozier
91
- "68": jug
92
- "69": lance
93
- - name: pose
94
- dtype:
95
- class_label:
96
- names:
97
- "0": stand
98
- "1": sit
99
- "2": partial
100
- "3": Unspecified
101
- "4": squats
102
- "5": lie
103
- "6": bend
104
- "7": fall
105
- "8": walk
106
- "9": push
107
- "10": pray
108
- "11": undefined
109
- "12": kneel
110
- "13": unrecognize
111
- "14": unknown
112
- "15": other
113
- "16": ride
114
- - name: diffult
115
- dtype: int32
116
- - name: xmin
117
- dtype: float64
118
- - name: ymin
119
- dtype: float64
120
- - name: xmax
121
- dtype: float64
122
- - name: ymax
123
- dtype: float64
124
- splits:
125
- - name: train
126
- num_bytes: 9046918
127
- num_examples: 15156
128
- download_size: 18160510195
129
- dataset_size: 9046918
130
- - config_name: coco
131
- features:
132
- - name: image
133
- dtype: image
134
- - name: source
135
- dtype: string
136
- - name: width
137
- dtype: int16
138
- - name: height
139
- dtype: int16
140
- - name: dept
141
- dtype: int8
142
- - name: segmented
143
- dtype: int8
144
- - name: objects
145
- list:
146
- - name: category_id
147
- dtype:
148
- class_label:
149
- names:
150
- "0": zebra
151
- "1": tree
152
- "2": nude
153
- "3": crucifixion
154
- "4": scroll
155
- "5": head
156
- "6": swan
157
- "7": shield
158
- "8": lily
159
- "9": mouse
160
- "10": knight
161
- "11": dragon
162
- "12": horn
163
- "13": dog
164
- "14": palm
165
- "15": tiara
166
- "16": helmet
167
- "17": sheep
168
- "18": deer
169
- "19": person
170
- "20": sword
171
- "21": rooster
172
- "22": bear
173
- "23": halo
174
- "24": lion
175
- "25": monkey
176
- "26": prayer
177
- "27": crown of thorns
178
- "28": elephant
179
- "29": zucchetto
180
- "30": unicorn
181
- "31": holy shroud
182
- "32": cat
183
- "33": apple
184
- "34": banana
185
- "35": chalice
186
- "36": bird
187
- "37": eagle
188
- "38": pegasus
189
- "39": crown
190
- "40": camauro
191
- "41": saturno
192
- "42": arrow
193
- "43": dove
194
- "44": centaur
195
- "45": horse
196
- "46": hands
197
- "47": skull
198
- "48": orange
199
- "49": monk
200
- "50": trumpet
201
- "51": key of heaven
202
- "52": fish
203
- "53": cow
204
- "54": angel
205
- "55": devil
206
- "56": book
207
- "57": stole
208
- "58": butterfly
209
- "59": serpent
210
- "60": judith
211
- "61": mitre
212
- "62": banner
213
- "63": donkey
214
- "64": shepherd
215
- "65": boat
216
- "66": god the father
217
- "67": crozier
218
- "68": jug
219
- "69": lance
220
- - name: image_id
221
- dtype: string
222
- - name: area
223
- dtype: int64
224
- - name: bbox
225
- sequence: float32
226
- length: 4
227
- - name: segmentation
228
- list:
229
- list: float32
230
- - name: iscrowd
231
- dtype: bool
232
- - name: image_id
233
- dtype: string
234
- splits:
235
- - name: train
236
- num_bytes: 8285204
237
- num_examples: 15156
238
- download_size: 18160510195
239
- dataset_size: 8285204
240
  license: cc-by-nc-2.0
241
  task_categories:
242
- - object-detection
243
- - image-classification
244
  tags:
245
- - lam
246
- - art
247
- - historical
248
- pretty_name: "DEArt: Dataset of European Art"
249
  size_categories:
250
- - 10K<n<100K
251
  ---
252
 
253
  # Dataset Card for DEArt: Dataset of European Art
@@ -425,7 +425,7 @@ The fields for the COCO config:
425
 
426
  ### Data Splits
427
 
428
- The dataset doesn't define set splits, so only a train split is provided. The paper associated with the dataset does discuss a train and validation split, but it doesn't appear this split was shared.
429
 
430
  ## Dataset Creation
431
 
@@ -520,4 +520,4 @@ The source data comes from several cultural heritage institutions that have shar
520
 
521
  ### Contributions
522
 
523
- Thanks to [@github-username](https://github.com/<github-username>) for adding this dataset.
 
1
  ---
2
  dataset_info:
3
+ - config_name: raw
4
+ features:
5
+ - name: image
6
+ dtype: image
7
+ - name: source
8
+ dtype: string
9
+ - name: width
10
+ dtype: int16
11
+ - name: height
12
+ dtype: int16
13
+ - name: dept
14
+ dtype: int8
15
+ - name: segmented
16
+ dtype: int8
17
+ - name: objects
18
+ list:
19
+ - name: name
20
+ dtype:
21
+ class_label:
22
+ names:
23
+ '0': zebra
24
+ '1': tree
25
+ '2': nude
26
+ '3': crucifixion
27
+ '4': scroll
28
+ '5': head
29
+ '6': swan
30
+ '7': shield
31
+ '8': lily
32
+ '9': mouse
33
+ '10': knight
34
+ '11': dragon
35
+ '12': horn
36
+ '13': dog
37
+ '14': palm
38
+ '15': tiara
39
+ '16': helmet
40
+ '17': sheep
41
+ '18': deer
42
+ '19': person
43
+ '20': sword
44
+ '21': rooster
45
+ '22': bear
46
+ '23': halo
47
+ '24': lion
48
+ '25': monkey
49
+ '26': prayer
50
+ '27': crown of thorns
51
+ '28': elephant
52
+ '29': zucchetto
53
+ '30': unicorn
54
+ '31': holy shroud
55
+ '32': cat
56
+ '33': apple
57
+ '34': banana
58
+ '35': chalice
59
+ '36': bird
60
+ '37': eagle
61
+ '38': pegasus
62
+ '39': crown
63
+ '40': camauro
64
+ '41': saturno
65
+ '42': arrow
66
+ '43': dove
67
+ '44': centaur
68
+ '45': horse
69
+ '46': hands
70
+ '47': skull
71
+ '48': orange
72
+ '49': monk
73
+ '50': trumpet
74
+ '51': key of heaven
75
+ '52': fish
76
+ '53': cow
77
+ '54': angel
78
+ '55': devil
79
+ '56': book
80
+ '57': stole
81
+ '58': butterfly
82
+ '59': serpent
83
+ '60': judith
84
+ '61': mitre
85
+ '62': banner
86
+ '63': donkey
87
+ '64': shepherd
88
+ '65': boat
89
+ '66': god the father
90
+ '67': crozier
91
+ '68': jug
92
+ '69': lance
93
+ - name: pose
94
+ dtype:
95
+ class_label:
96
+ names:
97
+ '0': stand
98
+ '1': sit
99
+ '2': partial
100
+ '3': Unspecified
101
+ '4': squats
102
+ '5': lie
103
+ '6': bend
104
+ '7': fall
105
+ '8': walk
106
+ '9': push
107
+ '10': pray
108
+ '11': undefined
109
+ '12': kneel
110
+ '13': unrecognize
111
+ '14': unknown
112
+ '15': other
113
+ '16': ride
114
+ - name: diffult
115
+ dtype: int32
116
+ - name: xmin
117
+ dtype: float64
118
+ - name: ymin
119
+ dtype: float64
120
+ - name: xmax
121
+ dtype: float64
122
+ - name: ymax
123
+ dtype: float64
124
+ splits:
125
+ - name: train
126
+ num_bytes: 9046918
127
+ num_examples: 15156
128
+ download_size: 18160510195
129
+ dataset_size: 9046918
130
+ - config_name: coco
131
+ features:
132
+ - name: image
133
+ dtype: image
134
+ - name: source
135
+ dtype: string
136
+ - name: width
137
+ dtype: int16
138
+ - name: height
139
+ dtype: int16
140
+ - name: dept
141
+ dtype: int8
142
+ - name: segmented
143
+ dtype: int8
144
+ - name: objects
145
+ list:
146
+ - name: category_id
147
+ dtype:
148
+ class_label:
149
+ names:
150
+ '0': zebra
151
+ '1': tree
152
+ '2': nude
153
+ '3': crucifixion
154
+ '4': scroll
155
+ '5': head
156
+ '6': swan
157
+ '7': shield
158
+ '8': lily
159
+ '9': mouse
160
+ '10': knight
161
+ '11': dragon
162
+ '12': horn
163
+ '13': dog
164
+ '14': palm
165
+ '15': tiara
166
+ '16': helmet
167
+ '17': sheep
168
+ '18': deer
169
+ '19': person
170
+ '20': sword
171
+ '21': rooster
172
+ '22': bear
173
+ '23': halo
174
+ '24': lion
175
+ '25': monkey
176
+ '26': prayer
177
+ '27': crown of thorns
178
+ '28': elephant
179
+ '29': zucchetto
180
+ '30': unicorn
181
+ '31': holy shroud
182
+ '32': cat
183
+ '33': apple
184
+ '34': banana
185
+ '35': chalice
186
+ '36': bird
187
+ '37': eagle
188
+ '38': pegasus
189
+ '39': crown
190
+ '40': camauro
191
+ '41': saturno
192
+ '42': arrow
193
+ '43': dove
194
+ '44': centaur
195
+ '45': horse
196
+ '46': hands
197
+ '47': skull
198
+ '48': orange
199
+ '49': monk
200
+ '50': trumpet
201
+ '51': key of heaven
202
+ '52': fish
203
+ '53': cow
204
+ '54': angel
205
+ '55': devil
206
+ '56': book
207
+ '57': stole
208
+ '58': butterfly
209
+ '59': serpent
210
+ '60': judith
211
+ '61': mitre
212
+ '62': banner
213
+ '63': donkey
214
+ '64': shepherd
215
+ '65': boat
216
+ '66': god the father
217
+ '67': crozier
218
+ '68': jug
219
+ '69': lance
220
+ - name: image_id
221
+ dtype: string
222
+ - name: area
223
+ dtype: int64
224
+ - name: bbox
225
+ sequence: float32
226
+ length: 4
227
+ - name: segmentation
228
+ list:
229
+ list: float32
230
+ - name: iscrowd
231
+ dtype: bool
232
+ - name: image_id
233
+ dtype: string
234
+ splits:
235
+ - name: train
236
+ num_bytes: 8285204
237
+ num_examples: 15156
238
+ download_size: 18160510195
239
+ dataset_size: 8285204
240
  license: cc-by-nc-2.0
241
  task_categories:
242
+ - object-detection
243
+ - image-classification
244
  tags:
245
+ - lam
246
+ - art
247
+ - historical
248
+ pretty_name: 'DEArt: Dataset of European Art'
249
  size_categories:
250
+ - 10K<n<100K
251
  ---
252
 
253
  # Dataset Card for DEArt: Dataset of European Art
 
425
 
426
  ### Data Splits
427
 
428
+ The dataset doesn't define set splits, so only a train split is provided. The paper associated with the dataset does discuss a train and validation split, but it doesn't appear this split was shared with the dataset or associated paper.
429
 
430
  ## Dataset Creation
431
 
 
520
 
521
  ### Contributions
522
 
523
+ Thanks to [@github-username](https://github.com/<github-username>) for adding this dataset.