Dataset Versions
Versions
rs_n0200_hs05
v45
· a year ago
rs_n0176_hs05
v44
· a year ago
rs_n0148_hs05
v43
· a year ago
rs_n0128_hs05
v42
· a year ago
rs_n0100_hs05
v41
· a year ago
rs_n0076_hs05
v40
· a year ago
rs_n0052_hs05
v39
· a year ago
rs_n0024_hs05
v38
· a year ago
rs_hs05
v37
· a year ago
rs_b03
v36
· a year ago
rs_b03_n0024
v35
· a year ago
rs_b03_n0052
v34
· a year ago
rs_b03_n0076
v33
· a year ago
rs_b03_n0100
v32
· a year ago
rs_b03_n0124
v31
· a year ago
rs_b03_n0152
v30
· a year ago
rs_b03_n0176
v29
· a year ago
rs_b03_n0200
v28
· a year ago
rs_b10_n0200
v27
· a year ago
rs_b10_n0176
v26
· a year ago
rs_b10_n0152
v25
· a year ago
rs_b10_n0128
v24
· a year ago
rs_b10_n0100
v23
· a year ago
rs_b10_n0076
v22
· a year ago
rs_b10_n0052
v21
· a year ago
rs_b10_n0024
v20
· a year ago
rs_b10
v19
· a year ago
rs_b05
v18
· a year ago
rs_b05_n0023
v17
· a year ago
rs_b05_n0051
v16
· a year ago
rs_b05_n0071
v15
· a year ago
rs_b05_n0099
v14
· a year ago
rs_b05_n0123
v13
· a year ago
rs_b05_n0151
v12
· a year ago
rs_b05_n0175
v11
· a year ago
rs_b05_n0199
v10
· a year ago
rs_n0199
v9
· a year ago
rs_n0175
v8
· a year ago
rs_n0025
v7
· a year ago
rs_n0049
v6
· a year ago
rs_n0077
v5
· a year ago
rs_n0101
v4
· a year ago
rs_n0149
v3
· a year ago
rs_n0125
v2
· a year ago
original
v1
· a year ago
v15
rs_b05_n0071
Generated on Jan 11, 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.
549 Total Images
View All Images
Dataset Split
Train Set 100%
549Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Blur: Up to 0.5px
Noise: Up to 0.71% of pixels