Climb detection Image Dataset
Versions
2024-01-31 10:53pm
v42
Jan 31, 2024
2024-01-23 5:19pm
v41
Jan 23, 2024
2024-01-23 5:10pm
v40
Jan 23, 2024
2024-01-20 3:24pm
v39
Jan 20, 2024
2024-01-20 10:23am
v38
Jan 20, 2024
2024-01-12 1:10pm
v35
Jan 12, 2024
2024-01-09 10:16pm
v34
Jan 9, 2024
2024-01-09 6:45pm
v33
Jan 9, 2024
2024-01-05 5:53pm
v32
Jan 5, 2024
2024-01-05 12:58pm
v31
Jan 5, 2024
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v30
Jan 5, 2024
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v29
Jan 4, 2024
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v27
Jan 4, 2024
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v26
Jan 3, 2024
2024-01-03 1:33pm
v25
Jan 3, 2024
2024-01-03 12:42pm
v24
Jan 3, 2024
2024-01-03 11:36am
v23
Jan 3, 2024
2024-01-02 10:10pm
v22
Jan 2, 2024
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v21
Jan 2, 2024
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v20
Jan 2, 2024
2024-01-02 11:25am
v19
Jan 2, 2024
2024-01-02 8:42am
v17
Jan 2, 2024
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v16
Jan 2, 2024
2024-01-01 6:56pm
v15
Jan 1, 2024
2024-01-01 6:50pm
v14
Jan 1, 2024
2023-12-29 9:25am
v13
Dec 29, 2023
2023-11-16 8:29pm
v12
Nov 16, 2023
2023-11-10 9:49pm
v11
Nov 10, 2023
2023-11-10 9:31pm
v10
Nov 10, 2023
2023-11-10 9:16pm
v9
Nov 10, 2023
2023-11-10 5:44pm
v8
Nov 10, 2023
2023-11-07 4:13pm
v7
Nov 7, 2023
2023-11-07 12:49pm
v5
Nov 7, 2023
v35
2024-01-12 1:10pm
Generated on Jan 12, 2024
Popular Download Formats
YOLOv9
TXT annotations and YAML config used with YOLOv9.
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.
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.
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.
3861 Total Images
View All Images
Dataset Split
Train Set 85%
3300Images
Valid Set 15%
561Images
Test Set %
0Images
Preprocessing
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 2
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Grayscale: Apply to 5% of images
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 0.5px
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