Dataset Versions
Versions
2023-11-10 2:09pm
v32
· a year ago
2023-07-05 3:50pm
v31
· a year ago
2023-06-19 9:21pm
v30
· a year ago
grayscaling
v29
· a year ago
10000iteration_512x512
v28
· a year ago
10000iteration_320x320
v27
· a year ago
10000iteration_640x640
v26
· a year ago
10000iteration_416x416
v25
· a year ago
voc only
v24
· a year ago
2023-06-08 6:41pm
v23
· a year ago
80-13-7-perfect
v22
· a year ago
2023-06-07 9:05pm
v21
· a year ago
let-s get started
v20
· a year ago
2023-06-07 8:48pm
v19
· a year ago
2023-06-07 8:36pm
v18
· a year ago
7June_SSD416x416_20000iteration
v17
· a year ago
2023-06-05 8:57pm
v16
· a year ago
2023-06-05 8:38pm
v15
· a year ago
2023-06-03 11:47am
v14
· a year ago
80-13-6
v13
· a year ago
2023-06-03 11:33am
v12
· a year ago
2023-06-03 11:32am
v11
· a year ago
2023-06-03 11:28am
v10
· a year ago
2023-06-03 11:25am
v9
· a year ago
2023-06-03 11:23am
v8
· a year ago
2023-06-03 11:22am
v7
· a year ago
90_6_4
v6
· a year ago
2023-06-01 3:03pm
v5
· a year ago
to test Quantization aware
v4
· 2 years ago
2022-10-19 9:45pm
v3
· 2 years ago
2022-10-19 9:39pm
v2
· 2 years ago
2022-10-19 9:37pm
v1
· 2 years ago
v7
2023-06-03 11:22am
Generated on Jun 3, 2023
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.
1269 Total Images
View All Images
Dataset Split
Train Set 90%
1137Images
Valid Set 6%
78Images
Test Set 4%
54Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 416x416
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±15° Horizontal, ±15° Vertical