Dataset Versions
Versions
try 1
v30
· 3 years ago
polygon 699 f-r-c 70-20-10 lepi sendiri
v29
· 3 years ago
polygon 699 f-r 70-20-10 - comp rumah
v28
· 3 years ago
polygon 699 f 70-20-10 - nabila
v27
· 3 years ago
polygon 699 f-r-c-b 70-20-10 bilal-s lepi
v26
· 3 years ago
polygon 699 split 70 10 20 - azhari lepi
v23
· 3 years ago
699 flip rotate crop blut- split 70 30 20
v22
· 3 years ago
699 flip rotate crop- split 70 30 20
v21
· 3 years ago
699 fliprotate - split 70 30 20
v20
· 3 years ago
699 flip- split 70 30 20
v19
· 3 years ago
699 tanpa diapa2in split 70 30 20
v18
· 3 years ago
fliprotcropblur 303 split 90 10
v14
· 3 years ago
flip rotate crop 303 split 90 10
v13
· 3 years ago
flip rotate 303 split 90 10
v12
· 3 years ago
flip 303 90 10 split
v11
· 3 years ago
303 split 90 10
v10
· 3 years ago
fliprotatecropblur split 70 30 20
v9
· 3 years ago
fliprotate-crop 303 split 70 30 20
v8
· 3 years ago
flip- rotate 303 split 70 30 20
v7
· 3 years ago
flip 303- split 70 30 20
v6
· 3 years ago
303 tanpa diapa2in split 70 30 20
v5
· 3 years ago
739 images
v4
· 3 years ago
461 images
v3
· 3 years ago
143 images
v2
· 3 years ago
2022-04-07 5:54am
v1
· 3 years ago
v21
699 flip rotate crop- split 70 30 20
Generated on May 16, 2022
Popular Download Formats
YOLOv11
TXT annotations and YAML config used with YOLOv11.
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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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1799 Total Images
View All Images
Dataset Split
Train Set 92%
1650Images
Valid Set 5%
82Images
Test Set 4%
67Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 24% Maximum Zoom
Rotation: Between -31° and +31°