Climb detection Image Dataset
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2024-01-31 10:53pm
v42
Jan 31, 2024
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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
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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
v12
2023-11-16 8:29pm
Generated on Nov 16, 2023
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
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3005 Total Images
View All Images
Dataset Split
Train Set 93%
2788Images
Valid Set 5%
139Images
Test Set 3%
78Images
Preprocessing
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 2
Rotation: Between -45° and +45°
Grayscale: Apply to 75% of images
Hue: Between -65° and +65°
Blur: Up to 2.25px
Noise: Up to 5% of pixels
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