crowd Image Dataset
Versions
2023-04-15 6:57am
v9
· a year ago
2023-04-15 6:26am
v8
· a year ago
2023-04-14 1:30pm
v7
· a year ago
2023-04-14 10:34am
v6
· a year ago
2023-04-14 12:40am
v5
· a year ago
2023-04-13 8:08pm
v4
· a year ago
2022-12-28 6:53pm
v3
· a year ago
2022-10-03 11:32am
v2
· 2 years ago
2022-08-09 8:31pm
v1
· 2 years ago
v2
2022-10-03 11:32am
Generated on Oct 3, 2022
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.
8167 Total Images
View All Images
Dataset Split
Train Set 88%
7170Images
Valid Set 9%
734Images
Test Set 3%
263Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 10px
Noise: Up to 5% of pixels
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Blur: Up to 10px
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