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Custom Dataset for Pedestrians and automobile detection
Object Detection
Overview
Images
10703
Dataset
18
Model
1
API Docs
Analytics
Dataset Versions
Try Pre-Trained Model
Versions
2023-12-21 9:55am
v35
·
a year ago
Noise - Brightness - DarknessV34
v34
·
2 years ago
Dark_Noise_V33
v33
·
2 years ago
Brightness_Noise_V32
v32
·
2 years ago
20pxBlure_Brightness_V31
v31
·
2 years ago
20pxBlure_Dark_V30
v30
·
2 years ago
20pxBlure_Noise_V29
v29
·
2 years ago
Brightness_V27
v27
·
2 years ago
Brightness_plus_Darkness_30-
v26
·
2 years ago
20px_Blur_V24
v24
·
2 years ago
4500_Val_Data_V21
v21
·
2 years ago
Dark_V19
v19
·
2 years ago
Noise_V18
v18
·
2 years ago
Training Only with 3 Aug
v17
·
2 years ago
Original_Data
v10
·
2 years ago
2023-02-16 7:50am
v8
·
2 years ago
640_size_Apr_2022
v5
·
3 years ago
CustomDatasetPersonCarBusMotorcycle
v1
·
4 years ago
v27
Brightness_V27
Generated on Feb 22, 2023
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Dataset
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.
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21078
Total Images
View All Images
Dataset Split
Train Set
100%
21078
Images
Valid Set
%
0
Images
Test Set
%
0
Images
Preprocessing
Auto-Orient:
Applied
Resize:
Fit within 640x640
Augmentations
Outputs per training example:
2
Brightness:
Between 0% and +30%
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