RSL Image Dataset
Versions
2022-04-22 8:42pm
v34
Apr 22, 2022
2022-04-22 8:42pm
v33
Apr 22, 2022
2022-04-22 8:41pm
v32
Apr 22, 2022
2022-04-22 8:40pm
v31
Apr 22, 2022
2022-04-22 8:39pm
v30
Apr 22, 2022
2022-04-22 8:38pm
v29
Apr 22, 2022
2022-04-22 8:38pm
v28
Apr 22, 2022
2022-04-22 8:38pm
v27
Apr 22, 2022
2022-04-22 8:37pm
v26
Apr 22, 2022
2022-04-22 11:54am
v25
Apr 22, 2022
2022-04-22 11:19am
v24
Apr 22, 2022
2022-04-22 11:18am
v23
Apr 22, 2022
2022-04-22 11:17am
v22
Apr 22, 2022
2022-04-21 2:29pm
v21
Apr 21, 2022
2022-04-21 2:29pm
v20
Apr 21, 2022
2022-04-21 2:28pm
v19
Apr 21, 2022
2022-04-21 2:27pm
v18
Apr 21, 2022
2022-04-21 2:26pm
v17
Apr 21, 2022
2022-04-21 2:25pm
v16
Apr 21, 2022
2022-04-19 4:03pm
v15
Apr 19, 2022
2022-04-19 3:39pm
v14
Apr 19, 2022
2022-04-19 3:39pm
v13
Apr 19, 2022
2022-04-19 3:38pm
v12
Apr 19, 2022
2022-04-19 3:37pm
v11
Apr 19, 2022
2022-04-19 3:35pm
v10
Apr 19, 2022
2022-04-19 3:34pm
v9
Apr 19, 2022
2022-04-19 3:33pm
v8
Apr 19, 2022
2022-04-19 3:23pm
v7
Apr 19, 2022
2022-04-19 3:20pm
v6
Apr 19, 2022
cutout
v5
Apr 18, 2022
2022-04-18 8:06pm
v4
Apr 18, 2022
2022-04-18 8:05pm
v3
Apr 18, 2022
no aug
v2
Apr 18, 2022
2022-04-18 7:57pm
v1
Apr 18, 2022
v34
2022-04-22 8:42pm
Generated on Apr 22, 2022
Popular Download Formats
YOLOv8
TXT annotations and YAML config used with YOLOv8.
YOLOv5
TXT annotations and YAML config used with YOLOv5.
YOLOv7
TXT annotations and YAML config used with YOLOv7.
MT-YOLOv6
MT-YOLOv6 TXT annotations used with meituan/YOLOv6.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
YOLO Darknet
Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
TFRecord
TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.
225 Total Images
View All Images
Dataset Split
Train Set 100%
225Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Shear: ±15° Horizontal, ±15° Vertical
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