Rock climbing Image Dataset
Versions
2022-12-09 8:37am
v56
Dec 9, 2022
2022-12-09 8:13am
v54
Dec 9, 2022
2022-11-29 9:22am
v52
Nov 29, 2022
2022-11-29 9:20am
v51
Nov 29, 2022
2022-11-28 9-18pm_ex_br_bl_ns
v50
Nov 29, 2022
2022-11-28 7-36pm_r_crop
v48
Nov 29, 2022
2022-11-28 7-35pm_ex_cp_bl
v46
Nov 29, 2022
2022-11-28 7-32pm_ex_br_bl_ns
v45
Nov 29, 2022
2022-11-28 7-08pm_r_ex_br_bl
v44
Nov 29, 2022
2022-11-28 6-38pm_r_exposure
v43
Nov 28, 2022
2022-11-28 6-34pm_r_bright
v42
Nov 28, 2022
2022-11-28 6-19pm_r_noise
v41
Nov 28, 2022
2022-11-28 6-08pm_r2_blur
v40
Nov 28, 2022
2022-11-28 5-25pm_smaller
v35
Nov 28, 2022
2022-11-28 5-21pm_exposure
v33
Nov 28, 2022
2022-11-28 5-19pm_hue
v32
Nov 28, 2022
2022-11-28 5-16pm_bright
v31
Nov 28, 2022
2022-11-28 5-15pm_blur
v30
Nov 28, 2022
2022-11-28 5-06pm_noise
v28
Nov 28, 2022
2022-11-28 4-52pm_resize
v23
Nov 28, 2022
2022-11-28 4-46pm_split2
v22
Nov 28, 2022
2022-11-28 4-11pm_split2
v20
Nov 28, 2022
2022-11-28 3:44pm
v18
Nov 28, 2022
2022-11-28 3-43pm_split1
v17
Nov 28, 2022
2022-11-23 6:52pm
v16
Nov 23, 2022
2022-11-23 5:46pm
v14
Nov 23, 2022
2022-11-22 5:21pm
v9
Nov 22, 2022
2022-11-22 5-03pm - too large
v8
Nov 22, 2022
2022-11-22 4:48pm
v7
Nov 22, 2022
2022-11-22 10:55am
v2
Nov 22, 2022
2022-10-03 5:10pm
v1
Oct 3, 2022
v1
2022-10-03 5:10pm
Generated on Oct 3, 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.
3 Total Images
View All Images
Dataset Split
Train Set 100%
3Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
Rotation: Between -10° and +10°
Brightness: Between -40% and +40%
Blur: Up to 1.25px
Noise: Up to 10% of pixels
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