Search is not available for this dataset
image
imagewidth (px) 960
960
| outlines
sequencelengths 540
540
| segments
sequencelengths 7
7
| id
int64 0
16.5k
| is_bad
bool 2
classes |
|---|---|---|---|---|
[[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,(...TRUNCATED) | [[[true,true,true,true,true,true,true,true,true,true,true,true,true,true,true,true,true,true,true,tr(...TRUNCATED) | 16,004 | false |
|
[[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,(...TRUNCATED) | [[[false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,f(...TRUNCATED) | 9,474 | false |
|
[[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,(...TRUNCATED) | [[[false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,f(...TRUNCATED) | 10,673 | false |
|
[[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,(...TRUNCATED) | [[[false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,f(...TRUNCATED) | 10,382 | false |
|
[[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,(...TRUNCATED) | [[[true,true,true,true,true,true,true,true,true,true,true,true,true,true,true,true,true,true,true,tr(...TRUNCATED) | 11,230 | false |
|
[[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,(...TRUNCATED) | [[[false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,f(...TRUNCATED) | 316 | false |
|
[[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,(...TRUNCATED) | [[[false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,f(...TRUNCATED) | 4,219 | false |
|
[[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,(...TRUNCATED) | [[[false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,f(...TRUNCATED) | 12,224 | false |
|
[[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,(...TRUNCATED) | [[[false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,f(...TRUNCATED) | 6,743 | false |
|
[[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,(...TRUNCATED) | [[[false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,f(...TRUNCATED) | 10,337 | false |
End of preview. Expand
in Dataset Viewer.
Processed data from the Soccernet 2023 dataset. Processing notebook is included in this repo.
To see an example:
def show_item(item):
fig, axs = plt.subplots(nrows = 1, ncols = 4, figsize = (20, 4))
axs[0].imshow(item['image'])
axs[0].set_title("Image")
axs[0].axis('off')
axs[1].imshow(overlay_mask(item['image'], item['outlines']))
axs[1].set_title("Outlines")
axs[1].axis('off')
axs[2].imshow(show_segments(item['segments']))
axs[2].set_title("Segments")
axs[2].axis('off')
# PART 3: GET MASK OUTLINES
kernel = np.array([[0, 1, 0],
[1, -4, 1],
[0, 1, 0]])
segments = np.array(item['segments']).astype(np.uint8)
class_edges = np.zeros(segments.shape[1:], dtype=int)
for i in range(segments.shape[0]):
edge = convolve(segments[i], kernel, mode='constant', cval=0)
edge_detected = edge != 0
class_edges[edge_detected] = i
axs[3].imshow(overlay_mask(item['image'], class_edges))
axs[3].set_title("Segments Outlines")
axs[3].axis('off')
if item['is_bad']:
s = f"Bad ID: {item['id']}"
else:
s = f"ID: {item['id']}"
fig.suptitle(s, fontsize = 8)
plt.subplots_adjust(hspace = -0.2, wspace = -0.05)
plt.show()
show_item(dataset['train'][99])
- Downloads last month
- 109