Dataset Versions
Versions
2022-11-29 1:56pm
v28
· 2 years ago
2022-11-25 8:35pm
v27
· 2 years ago
Without Any modification
v26
· 2 years ago
2022-11-24 1:58pm
v25
· 2 years ago
2022-11-24 12-02pm 256-254
v24
· 2 years ago
2022-11-24 11:52am
v23
· 2 years ago
2022-11-24 11-47am 254-256
v21
· 2 years ago
2022-11-24 2:09am
v20
· 2 years ago
2022-11-23 10-26pm no Aug
v19
· 2 years ago
2022-11-23 10-21pm -DL -
v18
· 2 years ago
2022-11-23 10:17pm
v17
· 2 years ago
2022-11-22 4:02pm
v14
· 2 years ago
2022-11-22 3:59pm
v13
· 2 years ago
2022-11-10 1:05am
v11
· 2 years ago
2022-11-07 5-58pm BEST VERSION
v10
· 2 years ago
2022-11-03 9:44pm
v8
· 2 years ago
2022-10-31 2:39pm
v7
· 2 years ago
2022-09-27 2:07am
v6
· 2 years ago
2022-09-27 2:04am
v5
· 2 years ago
2022-09-26 11:52pm
v4
· 2 years ago
2022-09-20 1:45am
v2
· 2 years ago
2022-09-19 6:15pm
v1
· 2 years ago
v21
2022-11-24 11-47am 254-256
Generated on Nov 24, 2022
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.
1366 Total Images
View All Images
Dataset Split
Train Set 87%
1194Images
Valid Set 8%
113Images
Test Set 4%
59Images
Preprocessing
Static Crop: 22-78% Horizontal Region, 0-100% Vertical Region
Resize: Fit within 256x256
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Vertical
Rotation: Between -7° and +7°
Brightness: Between -35% and +35%