markstanl/math443-image-learning-models
Updated
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img
imagewidth (px) 114
3.26k
| msk
imagewidth (px) 114
3.26k
| bbox
sequencelengths 4
4
| class
class label 2
classes | category
class label 37
classes |
|---|---|---|---|---|
[
39,
51,
156,
179
] | 0cat
| 0Abyssinian
|
||
[
43,
57,
94,
105
] | 0cat
| 0Abyssinian
|
||
[
78,
12,
305,
261
] | 0cat
| 0Abyssinian
|
||
[
593,
108,
1017,
549
] | 0cat
| 0Abyssinian
|
||
[
300,
95,
403,
196
] | 0cat
| 0Abyssinian
|
||
[
164,
71,
252,
163
] | 0cat
| 0Abyssinian
|
||
[
20,
58,
257,
278
] | 0cat
| 0Abyssinian
|
||
[
55,
99,
92,
138
] | 0cat
| 0Abyssinian
|
||
[
96,
246,
179,
328
] | 0cat
| 0Abyssinian
|
||
[
93,
85,
255,
230
] | 0cat
| 0Abyssinian
|
||
[
215,
23,
393,
176
] | 0cat
| 0Abyssinian
|
||
[
72,
102,
217,
222
] | 0cat
| 0Abyssinian
|
||
[
274,
100,
380,
207
] | 0cat
| 0Abyssinian
|
||
[
168,
65,
345,
239
] | 0cat
| 0Abyssinian
|
||
[
250,
60,
378,
186
] | 0cat
| 0Abyssinian
|
||
[
899,
208,
1113,
457
] | 0cat
| 0Abyssinian
|
||
[
72,
105,
288,
291
] | 0cat
| 0Abyssinian
|
||
[
145,
25,
218,
96
] | 0cat
| 0Abyssinian
|
||
[
160,
20,
411,
260
] | 0cat
| 0Abyssinian
|
||
[
54,
36,
319,
235
] | 0cat
| 0Abyssinian
|
||
[
105,
38,
227,
157
] | 0cat
| 0Abyssinian
|
||
[
1,
1,
175,
182
] | 0cat
| 0Abyssinian
|
||
[
26,
12,
95,
68
] | 0cat
| 0Abyssinian
|
||
[
28,
64,
72,
118
] | 0cat
| 0Abyssinian
|
||
[
88,
94,
207,
195
] | 0cat
| 0Abyssinian
|
||
[
20,
12,
127,
110
] | 0cat
| 0Abyssinian
|
||
[
94,
76,
275,
271
] | 0cat
| 0Abyssinian
|
||
[
160,
17,
491,
307
] | 0cat
| 0Abyssinian
|
||
[
238,
52,
391,
175
] | 0cat
| 0Abyssinian
|
||
[
42,
14,
134,
86
] | 0cat
| 0Abyssinian
|
||
[
74,
1,
389,
309
] | 0cat
| 0Abyssinian
|
||
[
154,
38,
336,
238
] | 0cat
| 0Abyssinian
|
||
[
135,
87,
314,
285
] | 0cat
| 0Abyssinian
|
||
[
124,
5,
268,
152
] | 0cat
| 0Abyssinian
|
||
[
38,
92,
136,
192
] | 0cat
| 0Abyssinian
|
||
[
346,
77,
409,
162
] | 0cat
| 0Abyssinian
|
||
[
87,
1,
295,
204
] | 0cat
| 0Abyssinian
|
||
[
255,
161,
361,
274
] | 0cat
| 0Abyssinian
|
||
[
23,
27,
325,
320
] | 0cat
| 0Abyssinian
|
||
[
501,
24,
712,
246
] | 0cat
| 0Abyssinian
|
||
[
50,
14,
336,
304
] | 0cat
| 0Abyssinian
|
||
[
16,
16,
431,
357
] | 0cat
| 0Abyssinian
|
||
[
231,
87,
323,
154
] | 0cat
| 0Abyssinian
|
||
[
63,
16,
173,
126
] | 0cat
| 0Abyssinian
|
||
[
224,
1,
470,
200
] | 0cat
| 0Abyssinian
|
||
[
94,
83,
211,
190
] | 0cat
| 0Abyssinian
|
||
[
153,
81,
333,
221
] | 0cat
| 0Abyssinian
|
||
[
35,
106,
326,
343
] | 0cat
| 0Abyssinian
|
||
[
17,
25,
206,
180
] | 0cat
| 0Abyssinian
|
||
[
81,
7,
246,
146
] | 0cat
| 0Abyssinian
|
||
[
73,
18,
184,
130
] | 0cat
| 0Abyssinian
|
||
[
861,
156,
1302,
563
] | 0cat
| 0Abyssinian
|
||
[
237,
101,
373,
227
] | 0cat
| 0Abyssinian
|
||
[
298,
94,
423,
213
] | 0cat
| 0Abyssinian
|
||
[
37,
38,
183,
182
] | 0cat
| 0Abyssinian
|
||
[
91,
15,
238,
164
] | 0cat
| 0Abyssinian
|
||
[
151,
71,
335,
267
] | 0cat
| 0Abyssinian
|
||
[
24,
53,
177,
198
] | 0cat
| 0Abyssinian
|
||
[
63,
50,
219,
227
] | 0cat
| 0Abyssinian
|
||
[
200,
106,
278,
179
] | 0cat
| 0Abyssinian
|
||
[
46,
22,
166,
168
] | 0cat
| 0Abyssinian
|
||
[
8,
6,
117,
121
] | 0cat
| 0Abyssinian
|
||
[
225,
1,
406,
222
] | 0cat
| 0Abyssinian
|
||
[
139,
42,
360,
237
] | 0cat
| 0Abyssinian
|
||
[
283,
26,
410,
167
] | 0cat
| 0Abyssinian
|
||
[
163,
61,
212,
109
] | 0cat
| 0Abyssinian
|
||
[
151,
64,
268,
184
] | 0cat
| 0Abyssinian
|
||
[
189,
166,
260,
235
] | 0cat
| 0Abyssinian
|
||
[
58,
44,
213,
215
] | 0cat
| 0Abyssinian
|
||
[
134,
207,
328,
393
] | 1dog
| 1american bulldog
|
||
[
15,
116,
309,
282
] | 1dog
| 1american bulldog
|
||
[
66,
6,
427,
309
] | 1dog
| 1american bulldog
|
||
[
35,
82,
315,
254
] | 1dog
| 1american bulldog
|
||
[
103,
47,
330,
268
] | 1dog
| 1american bulldog
|
||
[
5,
1,
438,
333
] | 1dog
| 1american bulldog
|
||
[
223,
24,
485,
250
] | 1dog
| 1american bulldog
|
||
[
182,
49,
298,
173
] | 1dog
| 1american bulldog
|
||
[
14,
14,
366,
336
] | 1dog
| 1american bulldog
|
||
[
153,
37,
269,
153
] | 1dog
| 1american bulldog
|
||
[
73,
25,
400,
314
] | 1dog
| 1american bulldog
|
||
[
22,
60,
253,
297
] | 1dog
| 1american bulldog
|
||
[
124,
13,
428,
249
] | 1dog
| 1american bulldog
|
||
[
57,
142,
230,
340
] | 1dog
| 1american bulldog
|
||
[
255,
71,
316,
137
] | 1dog
| 1american bulldog
|
||
[
39,
86,
420,
325
] | 1dog
| 1american bulldog
|
||
[
118,
35,
389,
293
] | 1dog
| 1american bulldog
|
||
[
117,
77,
182,
194
] | 1dog
| 1american bulldog
|
||
[
306,
101,
415,
168
] | 1dog
| 1american bulldog
|
||
[
177,
9,
353,
143
] | 1dog
| 1american bulldog
|
||
[
224,
91,
361,
253
] | 1dog
| 1american bulldog
|
||
[
164,
32,
351,
186
] | 1dog
| 1american bulldog
|
||
[
92,
132,
247,
265
] | 1dog
| 1american bulldog
|
||
[
4,
10,
160,
153
] | 1dog
| 1american bulldog
|
||
[
137,
62,
391,
293
] | 1dog
| 1american bulldog
|
||
[
111,
77,
312,
277
] | 1dog
| 1american bulldog
|
||
[
128,
22,
438,
268
] | 1dog
| 1american bulldog
|
||
[
133,
80,
256,
188
] | 1dog
| 1american bulldog
|
||
[
123,
8,
279,
153
] | 1dog
| 1american bulldog
|
||
[
138,
22,
360,
201
] | 1dog
| 1american bulldog
|
||
[
43,
3,
472,
333
] | 1dog
| 1american bulldog
|
End of preview. Expand
in Data Studio
Oxford Pets
A multi-modal dataset containing images with segmentation masks and bounding boxes for 37 specific cat and dog breeds.
Dataset Details
Data Fields
img: RGB imagemsk: Grayscale image (0: foreground, 1: background, 2: ambiguous)bbox: Sequence of integers representing bounding boxes in [x_min, y_min, width, height] formatclass: Binary class label (0=cat, 1=dog)category: Fine-grained breed classification from 37 classes:- Cats (17 breeds): Abyssinian, Bengal, Birman, Bombay, British Shorthair, Egyptian Mau, etc.
- Dogs (20 breeds): American Bulldog, Basset Hound, Beagle, Boxer, Chihuahua, etc.
Dataset Sources
- website: Visual Geometry Group
- Paper: Cats and Dogs
Uses
- image classification
- object detection
- semantic segmentation
- Downloads last month
- 300
Size of downloaded dataset files:
1.14 GB
Size of the auto-converted Parquet files:
1.14 GB
Number of rows:
3,671
