Dataset Versions
Versions
2024-03-03 4:19pm
v47
· 9 months ago
2023-12-09 12:27pm
v46
· a year ago
2023-01-05 11:22am
v45
· 2 years ago
2022-12-21 4:25pm
v44
· 2 years ago
2022-12-14 10:54am
v43
· 2 years ago
2022-12-12 3:13pm
v42
· 2 years ago
2022-12-12 3:13pm
v41
· 2 years ago
2022-10-31 11:46am
v40
· 2 years ago
2022-10-30 10:40am
v39
· 2 years ago
2022-10-20 3:55pm
v38
· 2 years ago
2022-10-20 1:36pm
v37
· 2 years ago
2022-10-20 1:03pm
v36
· 2 years ago
2022-10-20 12:45pm
v35
· 2 years ago
2022-10-20 12:32pm
v34
· 2 years ago
2022-10-20 12:29pm
v33
· 2 years ago
2022-10-20 12:20pm
v32
· 2 years ago
2022-10-20 12:17pm
v31
· 2 years ago
2022-10-20 12:15pm
v30
· 2 years ago
2022-10-06 12:25am
v29
· 2 years ago
2022-10-05 1:26am
v28
· 2 years ago
2022-08-09 5:51pm
v25
· 2 years ago
2022-08-04 11:29am
v23
· 2 years ago
2022-08-03 5:29pm
v22
· 2 years ago
2022-08-03 11:54am
v21
· 2 years ago
2022-08-02 2:05pm
v20
· 2 years ago
2022-08-01 12:30pm
v19
· 2 years ago
2022-07-29 3:40am
v17
· 2 years ago
V16
v16
· 3 years ago
v15
v15
· 3 years ago
1K
v14
· 3 years ago
V13
v13
· 3 years ago
V12
v12
· 3 years ago
600Img
v11
· 3 years ago
BadBakhtiV10
v10
· 3 years ago
BadBakhtiV9
v9
· 3 years ago
morethn100
v7
· 3 years ago
2022-05-07 1:35pm
v6
· 3 years ago
v21
2022-08-03 11:54am
Generated on Aug 3, 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.
1030 Total Images
View All Images
Dataset Split
Train Set 90%
930Images
Valid Set 10%
100Images
Test Set %
0Images
Preprocessing
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 0% Maximum Zoom
Grayscale: Apply to 0% of images
Hue: Between -8° and +8°
Saturation: Between -43% and +43%
Brightness: Between -13% and +13%
Mosaic: Applied