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broiler live weight by semantic segmentation

Object Detection

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Versions
2024-02-22 11:38pm
v14
·
a year ago
2023-07-17 5:04pm
v13
·
2 years ago
2023-03-25 12:37pm
v12
·
2 years ago
2023-03-25 12:05pm
v11
·
2 years ago
2023-03-25 11:47am
v10
·
2 years ago
2023-03-25 11:45am
v9
·
2 years ago
2023-03-25 11:29am
v8
·
2 years ago
2023-03-25 3:36am
v7
·
2 years ago
2023-03-25 2:32am
v6
·
2 years ago
2023-03-23 11:38pm
v5
·
2 years ago
2023-03-23 11:17pm
v4
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2 years ago
2023-03-23 11:17pm
v3
·
2 years ago
2023-03-20 1:43am
v2
·
2 years ago
2023-03-20 1:03am
v1
·
2 years ago
v6

2023-03-25 2:32am

Generated on Mar 25, 2023
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1010 Total Images

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Dataset Split

Train Set 93%
944Images
Valid Set 5%
54Images
Test Set 1%
12Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 18 remapped, 54 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Brightness: Between -15% and +15%

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broiler live weight by semantic segmentation
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Annotations

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CLASSES

LAYERS

 
220 gm
1

Unused Classes

1010 (gm)
120 (gm)
1220 (gm)
1240 (gm)
1250 (gm)
1290 (gm)
1310 (gm)
140 (gm)
1450 (gm)
1480 (gm)
1490 (gm)
150 (gm)
1540 (gm)
1550 (gm)
1570 (gm)
1580 (gm)
160 (gm)
1600 (gm)
1690 (gm)
170 (gm)
1780 (gm)
180 (gm)
190 (gm)
1990 (gm)
200 (gm)
2090 (gm)
210 (gm)
220 (gm)
230 (gm)
240 (gm)
270 (gm)
280 (gm)
290 (gm)
300 (gm)
320 (gm)
330 (gm)
340 (gm)
350 (gm)
360 (gm)
370 (gm)
380 (gm)
390 (gm)
400 (gm)
410 (gm)
420 (gm)
430 (gm)
440 (gm)
450 (gm)
460 (gm)
490 (gm)
500(gm)
510(gm)
520(gm)
530(gm)
540(gm)
550(gm)
560(gm)
570(gm)
580(gm)
590 (gm)
600 (gm)
610 (gm)
620 (gm)
630 (gm)
640 (gm)
650 (gm)
670 (gm)
680 (gm)
700 (gm)
720 (gm)
750 (gm)
800 (gm)

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Attributes

220_223-2-.jpg

640x640
0.41MP

Updated Sep 27, 55198

11:47AM
GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient Applied
Resize Stretch to 640x640
Modify Classes Applied
Brightness -9%

Annotation History

Loading...

Raw Data

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        "190 (gm)": 132,
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