Datasets:
image imagewidth (px) 400 400 | objects dict | split stringclasses 3
values | tile stringlengths 13 40 |
|---|---|---|---|
{
"bbox": [
[
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],
[
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],
[
20,
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],
[
33,
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],
[
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],
[
56,
201,
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... | train | 2018_NIWO_2_450000_4426000_image_crop_1 | |
{
"bbox": [
[
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],
[
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],
[
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],
[
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],
[
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],
[
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10,
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... | train | 2018_NIWO_2_450000_4426000_image_crop_11 | |
{
"bbox": [
[
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],
[
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[
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],
[
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],
[
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],
[
328,
299,
27... | train | 2018_NIWO_2_450000_4426000_image_crop_12 | |
{
"bbox": [
[
139,
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],
[
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],
[
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],
[
3,
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],
[
105,
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23,
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],
[
0,
376,
6,
... | train | 2018_NIWO_2_450000_4426000_image_crop_13 | |
{
"bbox": [
[
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],
[
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],
[
0,
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],
[
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],
[
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12,
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],
[
26,
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20,
14
... | train | 2018_NIWO_2_450000_4426000_image_crop_14 | |
{
"bbox": [
[
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],
[
394,
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],
[
377,
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],
[
313,
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27,
11
],
[
350,
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18,
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],
[
366,
376,
19,... | train | 2018_NIWO_2_450000_4426000_image_crop_15 | |
{
"bbox": [
[
197,
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17,
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],
[
205,
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16,
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],
[
272,
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],
[
234,
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12,
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],
[
222,
124,
26,
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],
[
209,
143,
12,
... | train | 2018_NIWO_2_450000_4426000_image_crop_16 | |
{
"bbox": [
[
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[
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[
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],
[
252,
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],
[
277,
0,
18,
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],
[
342,
0,
10,
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]... | train | 2018_NIWO_2_450000_4426000_image_crop_17 | |
{
"bbox": [
[
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],
[
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],
[
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],
[
394,
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],
[
209,
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13,
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],
[
217,
381,
28,
... | train | 2018_NIWO_2_450000_4426000_image_crop_18 | |
{
"bbox": [
[
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],
[
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],
[
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],
[
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],
[
368,
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20,
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],
[
5,
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... | train | 2018_NIWO_2_450000_4426000_image_crop_19 | |
{
"bbox": [
[
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],
[
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],
[
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],
[
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],
[
27,
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],
[
71,
373,
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... | train | 2018_NIWO_2_450000_4426000_image_crop_2 | |
{
"bbox": [
[
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],
[
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],
[
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],
[
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],
[
265,
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],
[
290,
142,
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... | train | 2018_NIWO_2_450000_4426000_image_crop_20 | |
{
"bbox": [
[
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],
[
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],
[
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],
[
351,
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],
[
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],
[
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11... | train | 2018_NIWO_2_450000_4426000_image_crop_21 | |
{
"bbox": [
[
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],
[
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],
[
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],
[
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],
[
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],
[
344,
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... | train | 2018_NIWO_2_450000_4426000_image_crop_22 | |
{
"bbox": [
[
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],
[
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],
[
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],
[
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],
[
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23,
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],
[
72,
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34,
... | train | 2018_NIWO_2_450000_4426000_image_crop_23 | |
{
"bbox": [
[
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],
[
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],
[
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],
[
339,
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],
[
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],
[
364,
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13... | train | 2018_NIWO_2_450000_4426000_image_crop_24 | |
{
"bbox": [
[
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],
[
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],
[
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],
[
298,
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],
[
283,
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26,
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],
[
259,
198,
25,
... | train | 2018_NIWO_2_450000_4426000_image_crop_25 | |
{
"bbox": [
[
256,
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],
[
340,
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],
[
356,
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],
[
377,
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22,
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],
[
292,
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23,
17
],
[
263,
262,
27,
... | train | 2018_NIWO_2_450000_4426000_image_crop_26 | |
{
"bbox": [
[
146,
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],
[
138,
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],
[
59,
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],
[
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],
[
0,
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5,
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],
[
397,
331,
3,
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]... | train | 2018_NIWO_2_450000_4426000_image_crop_27 | |
{
"bbox": [
[
240,
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],
[
222,
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26,
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],
[
227,
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],
[
272,
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],
[
37,
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],
[
44,
118,
16,
... | train | 2018_NIWO_2_450000_4426000_image_crop_29 | |
{
"bbox": [
[
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],
[
44,
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],
[
13,
130,
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],
[
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],
[
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],
[
1,
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... | train | 2018_NIWO_2_450000_4426000_image_crop_3 | |
{
"bbox": [
[
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],
[
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],
[
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],
[
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],
[
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],
[
342,
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... | train | 2018_NIWO_2_450000_4426000_image_crop_30 | |
{
"bbox": [
[
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],
[
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],
[
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],
[
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[
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],
[
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143,
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... | train | 2018_NIWO_2_450000_4426000_image_crop_31 | |
{
"bbox": [
[
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],
[
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],
[
185,
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],
[
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],
[
179,
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22,
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],
[
335,
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22... | train | 2018_NIWO_2_450000_4426000_image_crop_32 | |
{
"bbox": [
[
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[
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],
[
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],
[
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],
[
145,
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],
[
159,
333,
28,
... | train | 2018_NIWO_2_450000_4426000_image_crop_33 | |
{
"bbox": [
[
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17,
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],
[
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],
[
37,
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[
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],
[
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],
[
21,
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... | train | 2018_NIWO_2_450000_4426000_image_crop_34 | |
{
"bbox": [
[
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],
[
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],
[
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[
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],
[
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],
[
53,
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... | train | 2018_NIWO_2_450000_4426000_image_crop_36 | |
{
"bbox": [
[
232,
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],
[
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],
[
300,
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],
[
325,
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],
[
284,
200,
26,
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],
[
313,
211,
18,... | train | 2018_NIWO_2_450000_4426000_image_crop_37 | |
{
"bbox": [
[
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],
[
209,
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],
[
193,
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],
[
229,
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],
[
240,
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24,
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],
[
17,
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11,... | train | 2018_NIWO_2_450000_4426000_image_crop_38 | |
{
"bbox": [
[
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],
[
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],
[
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],
[
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],
[
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],
[
39,
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18,
... | train | 2018_NIWO_2_450000_4426000_image_crop_39 | |
{
"bbox": [
[
263,
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],
[
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],
[
222,
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],
[
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],
[
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22,
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],
[
331,
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27... | train | 2018_NIWO_2_450000_4426000_image_crop_40 | |
{
"bbox": [
[
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],
[
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],
[
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],
[
111,
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17,
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],
[
198,
319,
23,
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],
[
167,
325,
21,... | train | 2018_NIWO_2_450000_4426000_image_crop_41 | |
{
"bbox": [
[
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],
[
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],
[
155,
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],
[
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],
[
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],
[
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18... | train | 2018_NIWO_2_450000_4426000_image_crop_42 | |
{
"bbox": [
[
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],
[
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],
[
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],
[
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],
[
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],
[
84,
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... | train | 2018_NIWO_2_450000_4426000_image_crop_43 | |
{
"bbox": [
[
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],
[
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],
[
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],
[
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],
[
310,
216,
12,
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],
[
271,
241,
12... | train | 2018_NIWO_2_450000_4426000_image_crop_44 | |
{
"bbox": [
[
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],
[
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],
[
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],
[
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],
[
181,
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17,
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],
[
183,
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16,... | train | 2018_NIWO_2_450000_4426000_image_crop_46 | |
{
"bbox": [
[
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],
[
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],
[
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],
[
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],
[
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],
[
118,
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12,
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... | train | 2018_NIWO_2_450000_4426000_image_crop_48 | |
{
"bbox": [
[
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],
[
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],
[
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[
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],
[
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],
[
86,
29,
21,
19... | train | 2018_NIWO_2_450000_4426000_image_crop_49 | |
{
"bbox": [
[
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],
[
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],
[
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],
[
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20,
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],
[
53,
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22,
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],
[
100,
287,
24,
... | train | 2018_NIWO_2_450000_4426000_image_crop_5 | |
{
"bbox": [
[
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],
[
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],
[
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],
[
22,
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],
[
0,
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],
[
148,
331,
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1... | train | 2018_NIWO_2_450000_4426000_image_crop_51 | |
{
"bbox": [
[
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],
[
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],
[
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],
[
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],
[
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],
[
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... | train | 2018_NIWO_2_450000_4426000_image_crop_52 | |
{
"bbox": [
[
109,
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],
[
69,
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],
[
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],
[
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],
[
143,
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26,
26
],
[
107,
355,
20,
... | train | 2018_NIWO_2_450000_4426000_image_crop_54 | |
{
"bbox": [
[
97,
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10,
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],
[
130,
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],
[
205,
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],
[
215,
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],
[
242,
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],
[
259,
388,
21,
... | train | 2018_NIWO_2_450000_4426000_image_crop_55 | |
{
"bbox": [
[
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16,
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],
[
132,
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],
[
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],
[
248,
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],
[
261,
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12
],
[
270,
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10,
... | train | 2018_NIWO_2_450000_4426000_image_crop_56 |
End of preview. Expand in Data Studio
Niwo Tree Crown Detection
Individual tree crown detection in airborne RGB imagery of Niwot Ridge, a subalpine conifer forest in the Colorado Rocky Mountains (NEON site NIWO) dominated by lodgepole pine, subalpine fir and Engelmann spruce. The imagery was flown in 2018 by the National Ecological Observatory Network's Airborne Observation Platform at 0.1 m resolution and cut into 400 x 400 pixel tiles, with every tree crown outlined by a bounding box (14,036 boxes over 88 tiles). It was released with a neuro-symbolic framework that adds ecological rules to a RetinaNet crown-delineation model. The split column keeps the authors' train (67 tiles), val (10) and test (11) sets, and tile records the source tile name. The dataset contains 88 images with 14,036 bounding box annotations across 1 category.
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
The original train/test/val split has been preserved in the split column.
Citation
@article{harmon2024neuro,
title={A Neuro-Symbolic Framework for Tree Crown Delineation and Tree Species Classification},
author={Harmon, Ira and Weinstein, Ben and Bohlman, Stephanie and White, Ethan and Wang, Daisy Zhe},
journal={Remote Sensing},
volume={16},
pages={4365},
year={2024},
publisher={MDPI}
}
The dataset itself can be cited as:
Harmon, I. (2024). NEON Neuro-Symbolic Dataset [Dataset]. Zenodo. https://doi.org/10.5281/ZENODO.14194555
This dataset was reformatted from its original format to match HuggingFace standards.
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