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Object Detector with DOTA dataset
Object Detection
Overview
Images
1032
Dataset
5
Model
2
API Docs
Analytics
Dataset Versions
Try Pre-Trained Model
Versions
2024-05-02 7:42pm
v6
·
a year ago
2024-05-02 6:25pm
v5
·
a year ago
2024-04-19 12:14am
v4
·
a year ago
2023-05-11 7:17pm
v3
·
2 years ago
2023-05-10 11:48pm
v1
·
2 years ago
v3
2023-05-11 7:17pm
Generated on May 11, 2023
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Dataset
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YOLOv11
TXT annotations and YAML config
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YOLOv9
TXT annotations and YAML config
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YOLOv8
TXT annotations and YAML config
used with
YOLOv8
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YOLOv5
TXT annotations and YAML config
used with
YOLOv5
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YOLOv7
TXT annotations and YAML config
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YOLOv7
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COCO JSON
COCO JSON annotations
are used with
EfficientDet Pytorch
and
Detectron 2
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Darknet TXT annotations
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YOLOv3 PyTorch
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Pascal VOC XML
Common
XML annotation format
for local data munging (pioneered by ImageNet).
TFRecord
TFRecord binary format
used for both
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Tensorflow 2.0 Object Detection
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PaliGemma
PaliGemma JSONL format
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2482
Total Images
View All Images
Dataset Split
Train Set
88%
2175
Images
Valid Set
8%
203
Images
Test Set
4%
104
Images
Preprocessing
Auto-Orient:
Applied
Resize:
Stretch to 416x416
Modify Classes:
3 remapped, 0 dropped
Augmentations
Outputs per training example:
3
Noise:
Up to 5% of pixels
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