Dataset Versions
Versions
2023-06-15 11:25am
v25
· a year ago
Mosaic
v24
· a year ago
JSM_Br_Exp_Cutout
v23
· a year ago
JSM_Br_Exp_Shear
v22
· a year ago
JSM_Br_Sat_Exp
v21
· a year ago
2023-06-14 10:35am
v20
· a year ago
2023-06-13 11:25pm
v18
· a year ago
2023-06-12 10:34am
v16
· a year ago
2023-06-11 7:47pm
v15
· a year ago
2023-06-11 3:31pm
v14
· a year ago
2023-06-10 11:14am
v13
· a year ago
2023-06-09 2:41pm
v12
· a year ago
2023-06-09 10:34am
v11
· a year ago
2023-06-08 12:04pm
v10
· a year ago
2023-06-07 9:40am
v9
· a year ago
2023-06-06 12:33pm
v8
· a year ago
2023-06-06 11:32am
v7
· a year ago
2023-06-06 9:57am
v6
· a year ago
2023-06-05 10:30am
v5
· a year ago
2023-06-03 4:56pm
v4
· a year ago
2023-06-02 10:44pm
v3
· a year ago
2023-06-02 3:40pm
v2
· a year ago
2023-05-30 5:44pm
v1
· a year ago
v14
2023-06-11 3:31pm
Generated on Jun 11, 2023
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Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
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TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
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1298 Total Images
View All Images
Dataset Split
Train Set 96%
1242Images
Valid Set 3%
40Images
Test Set 1%
16Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 13 remapped, 1 dropped
Augmentations
Outputs per training example: 3
Shear: ±25° Horizontal, ±25° Vertical
Exposure: Between -37% and +37%