Dataset Versions
Versions
2024-05-09 10:11am
v35
· 7 months ago
2024-03-25 4:46pm
v34
· 8 months ago
2024-03-25 4:44pm
v32
· 8 months ago
2024-03-25 4:43pm
v31
· 8 months ago
2024-03-25 4:42pm
v30
· 8 months ago
2024-03-25 4:42pm
v29
· 8 months ago
2024-03-25 4:41pm
v28
· 8 months ago
2024-03-25 4:40pm
v27
· 8 months ago
2024-03-25 4:38pm
v26
· 8 months ago
Brightness- dark
v25
· 8 months ago
Saturation
v24
· 8 months ago
Hue
v23
· 8 months ago
Grayscale
v22
· 8 months ago
Rotation
v21
· 8 months ago
90- Rotate- Upside Down
v20
· 8 months ago
90- Rotate- Counter-Clockwise
v19
· 8 months ago
90- Rotate- Clockwise
v18
· 8 months ago
Vertical
v17
· 8 months ago
Horizontal
v16
· 8 months ago
251images
v15
· 8 months ago
2024-03-24 12:48pm
v14
· 8 months ago
2024-01-10 2:51pm
v13
· a year ago
2024-01-08 10:01pm
v11
· a year ago
2024-01-08 1:03pm
v9
· a year ago
2024-01-05 1:56pm
v6
· a year ago
2024-01-05 12:32pm
v5
· a year ago
2023-12-16 12:37am
v1
· a year ago
v6
2024-01-05 1:56pm
Generated on Jan 5, 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.
580 Total Images
View All Images
Dataset Split
Train Set 92%
535Images
Valid Set 8%
45Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 320x320
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°