Dataset Versions
Versions
2024-12-22 12:03pm
v42
· 7 days ago
2024-12-22 12:02pm
v41
· 7 days ago
2024-12-22 4:40am
v40
· 7 days ago
jk
v39
· 8 days ago
hh
v38
· 8 days ago
ha
v37
· 8 days ago
Haii
v36
· 8 days ago
2024-12-14 5:57pm
v35
· 15 days ago
2024-12-14 5:56pm
v34
· 15 days ago
2024-12-14 5:55pm
v33
· 15 days ago
AAA
v32
· 15 days ago
2024-12-14 5:37pm
v31
· 15 days ago
2024-12-14 5:36pm
v30
· 15 days ago
2024-12-14 5:35pm
v29
· 15 days ago
Bismillah
v28
· 15 days ago
11
v27
· 17 days ago
Yoloo
v26
· 17 days ago
yolonew
v25
· 17 days ago
2024-12-01 4:34pm
v24
· a month ago
Noise
v23
· a month ago
Blurr
v22
· a month ago
Brightner
v21
· a month ago
Exposure
v20
· a month ago
Saturai
v19
· a month ago
Hue
v18
· a month ago
2024-12-01 10:34am
v17
· a month ago
Rotasi 15 derajat
v16
· a month ago
Crop
v15
· a month ago
rotaye
v14
· a month ago
2024-12-01 10:21am
v13
· a month ago
Flip
v12
· a month ago
2024-11-11 8:55am
v11
· 2 months ago
2024-11-10 5:05am
v10
· 2 months ago
2024-10-28 3:35am
v9
· 2 months ago
2024-10-28 3:32am
v8
· 2 months ago
2024-10-27 6:01am
v7
· 2 months ago
2024-10-27 5:58am
v6
· 2 months ago
v9
2024-10-28 3:35am
Generated on Oct 28, 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.
529 Total Images
View All Images
Dataset Split
Train Set 88%
465Images
Valid Set 9%
46Images
Test Set 3%
18Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 400x400
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±12° Vertical
Hue: Between -25° and +25°
Saturation: Between -27% and +27%
Blur: Up to 4.5px
Noise: Up to 1.25% of pixels