Dataset Versions
Versions
2024-04-10 9:47pm
v45
· 7 months ago
2024-03-09 9:50pm
v44
· 8 months ago
2024-03-09 9:46pm
v43
· 8 months ago
2024-03-09 9:11pm
v42
· 8 months ago
2024-03-09 8:37pm
v41
· 8 months ago
2024-03-08 11:48am
v40
· 8 months ago
2024-03-08 10:20am
v39
· 8 months ago
90-5-5 new2024-03-08 9-23am
v38
· 8 months ago
2024-03-08 9:14am
v37
· 8 months ago
80-10-10 new 2024-03-08 8-50am
v33
· 8 months ago
85-10-5 new 2024-03-07 8-26am
v32
· 8 months ago
2024-03-06 10:03am
v31
· 8 months ago
2024-03-05 10:44am
v29
· 8 months ago
90-5-5 2024-03-05 7-25am
v28
· 8 months ago
85-10-5 2024-03-05 7-21am
v27
· 8 months ago
80-10-10 2024-03-05 7-11am
v26
· 8 months ago
75-15-10-2024-03-05 6-46am
v25
· 8 months ago
70-20-10- 2024-03-03 9-30pm
v24
· 8 months ago
70- 20- 10-
v3
· a year ago
2023-11-11 6:30pm
v1
· a year ago
v39
2024-03-08 10:20am
Generated on Mar 8, 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.
3600 Total Images
View All Images
Dataset Split
Train Set 89%
3200Images
Valid Set 6%
203Images
Test Set 5%
197Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 2
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°