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object-detection-to-aid-vi-people-with-navigation-lgoat/2 (latest)
Versions
Single Label Per Image - No Augment
v7
·
2 years ago
Augmented
v6
·
2 years ago
Single Label Per Image - Test Train Split
v5
·
2 years ago
Single Label Per Image - 100- training
v4
·
2 years ago
Multiple Labels Per Image - 100- training
v3
·
2 years ago
Multiple Labels Per Image - Test train split
v2
·
2 years ago
Multiple Labels Per Image - Only Test Split
v1
·
2 years ago
v1
Multiple Labels Per Image - Only Test Split
Generated on
Mar 8, 2023
Popular Download Formats
YOLOv11
TXT
annotations and YAML config used with YOLOv11.
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
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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.
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JSON format is used with Apple's CreateML and Turi Create tools.
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1400 Total Images
View All Images
Dataset Split
Train
Set
70%
979Images
Valid
Set
30%
421Images
Test
Set
%
0Images
Preprocessing
Auto-Orient:
Applied
Resize:
Stretch to 640x640
Augmentations
No augmentations were applied.
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