Climb detection Image Dataset
Versions
2024-01-31 10:53pm
v42
Jan 31, 2024
2024-01-23 5:19pm
v41
Jan 23, 2024
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Jan 9, 2024
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Jan 9, 2024
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v32
Jan 5, 2024
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Jan 5, 2024
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Jan 3, 2024
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Jan 3, 2024
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v15
Jan 1, 2024
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v14
Jan 1, 2024
2023-12-29 9:25am
v13
Dec 29, 2023
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v12
Nov 16, 2023
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v11
Nov 10, 2023
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Nov 10, 2023
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Nov 10, 2023
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2023-11-07 4:13pm
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Nov 7, 2023
2023-11-07 12:49pm
v5
Nov 7, 2023
v32
2024-01-05 5:53pm
Generated on Jan 5, 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.
2432 Total Images
View All Images
Dataset Split
Train Set 92%
2236Images
Valid Set 5%
120Images
Test Set 3%
76Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 2
Flip: Horizontal
Hue: Between -10° and +10°
Saturation: Between -10% and +10%
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%
Blur: Up to 1px
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