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landing-pad-model/3 (latest)
Versions
2024-11-04 2:52am
v11
·
5 months ago
2024-11-04 2:50am
v10
·
5 months ago
2024-10-22 11:36pm
v9
·
5 months ago
Final model
v8
·
5 months ago
2024-10-19 8:49pm
v7
·
5 months ago
2024-08-31 2:11am
v6
·
7 months ago
2024-08-06 6:12pm
v5
·
7 months ago
2024-07-25 5:46pm
v4
·
8 months ago
2024-06-19 6:18am
v3
·
9 months ago
2024-06-18 6:53am
v1
·
9 months ago
v11
2024-11-04 2:52am
Generated on
Nov 4, 2024
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
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.
609 Total Images
View All Images
Dataset Split
Train
Set
89%
540Images
Valid
Set
7%
45Images
Test
Set
4%
24Images
Preprocessing
Auto-Orient:
Applied
Resize:
Fit within 640x640
Filter by Tag:
0 required, 2 dropped
Augmentations
Outputs per training example:
3
90° Rotate:
Clockwise, Counter-Clockwise
Crop:
0% Minimum Zoom, 30% Maximum Zoom
Rotation:
Between -15° and +15°
Grayscale:
Apply to 24% of images
Hue:
Between -24° and +24°
Saturation:
Between -34% and +34%
Noise:
Up to 1.01% of pixels
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