detect-所有标签 Dataset
Versions
label_save
v15
· 7 hours ago
onlyScratch
v13
· 2 days ago
onlyOrange
v12
· 2 days ago
onlyDust
v11
· 2 days ago
onlyCreck
v10
· 2 days ago
reduce_dust-resplit8-2-1
v9
· 5 days ago
reduce_dust-resplit8-2
v7
· 5 days ago
reduce_dust-nocut
v6
· 5 days ago
reduce_dust
v5
· 5 days ago
label_save
v4
· 5 days ago
2024-10-27 9:21am
v3
· 5 days ago
2024-10-27 9:14am
v2
· 5 days ago
2024-10-27 8:27am
v1
· 5 days ago
v9
reduce_dust-resplit8-2-1
Generated on Oct 27, 2024
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YOLOv11
TXT annotations and YAML config used with YOLOv11.
YOLOv9
TXT annotations and YAML config used with YOLOv9.
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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.
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1624 Total Images
View All Images
Dataset Split
Train Set 92%
1499Images
Valid Set 8%
125Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Modify Classes: 1 remapped, 5 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Bounding Box: Flip: Horizontal, Vertical