PersonCounting Dataset
Versions
2023-11-08 5:23pm
v34
· 10 months ago
2023-11-08 5:21pm
v33
· 10 months ago
2023-11-08 5:21pm
v32
· 10 months ago
2023-11-08 5:16pm
v31
· 10 months ago
2023-11-08 4:45pm
v30
· 10 months ago
2023-11-08 4:45pm
v29
· 10 months ago
2023-08-01 1:50pm
v28
· a year ago
2023-08-01 1:09pm
v27
· a year ago
2023-08-01 11:44am
v26
· a year ago
2023-07-31 9:53pm
v25
· a year ago
2023-07-31 4:21pm
v24
· a year ago
2023-06-15 4:19pm
v23
· a year ago
2023-06-01 5:58am
v22
· a year ago
2023-06-01 5:09am
v21
· a year ago
2023-06-01 3:55am
v20
· a year ago
2023-06-01 3:14am
v19
· a year ago
2023-06-01 12:56am
v18
· a year ago
2023-05-31 9:26am
v17
· a year ago
2023-05-31 8:41am
v16
· a year ago
2023-05-31 6:21am
v15
· a year ago
2023-05-31 12:19am
v14
· a year ago
2023-05-30 7:56am
v13
· a year ago
2023-05-30 4:54am
v12
· a year ago
2023-05-30 3:44am
v11
· a year ago
2023-05-29 11:30pm
v10
· a year ago
2023-05-29 11:10pm
v9
· a year ago
2023-05-29 11:09pm
v8
· a year ago
2023-05-29 5:14am
v7
· a year ago
2023-05-29 3:47am
v6
· a year ago
2023-05-28 10:35am
v5
· a year ago
2023-05-28 9:49am
v4
· a year ago
2023-05-26 8:25am
v3
· a year ago
2023-05-26 7:00am
v2
· a year ago
2023-05-25 8:26am
v1
· a year ago
v28
2023-08-01 1:50pm
Generated on Aug 1, 2023
Popular Download Formats
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.
233 Total Images
View All Images
Dataset Split
Train Set 88%
204Images
Valid Set 8%
19Images
Test Set 4%
10Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -10% and +10%
Blur: Up to 2px
Noise: Up to 2% of pixels
Bounding Box: Rotation: Between -10° and +10°
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical
Bounding Box: Blur: Up to 2px
Bounding Box: Noise: Up to 2% of pixels