Tyre reviews Sailun Atrezzo ZSR 2. Page 7 1524

  • Sailun Atrezzo ZSR 2
    Sailun Atrezzo ZSR 2

Статистика отзывов на шины Sailun Atrezzo ZSR 2

Ниже отображены сводные характеристики шины, основанные на отзывах и оценках автовладельцев со всего мира.
При учёте общей оценки летней шины её показатели на снегу и льду не учитываются.

  • Средняя оценка шин Sailun Atrezzo ZSR 2 пользователями сайта: 4.79062 из 5
  • Количество отзывов на шины Sailun Atrezzo ZSR 2: 1526 шт.
  • Место в рейтинге: 252
  • Место в рейтинге (летние): 155
Control on a dry road
Steering in the wet
Drive comfort
Quiet in motion
Braking efficiency
Resistant to aquaplaning
Velocity characteristics
Wearability
Quality of production
Price justifiability
Все оценки пользователей
Оценки реальных покупателей

Оценки шин Sailun Atrezzo ZSR 2 по месяцам

По распределению
оценок

1
2%
2
1%
3
1%
4
7%
5
90%
  • about tyre Sailun Atrezzo ZSR 2

    The product was purchased at Mosautoshina
    Rate
    4.5

    Normal tire. Holds the road well. Didn't drive much in the rain. Balanced well. In general, I have no particular complaints about the tire. I bought the tires for 6 thousand per unit. I wanted to take Bridgestones. I think if I had taken Bridgestones for 12 thousand per unit, I wouldn't have seen any difference. So, I join the majority of opinions that there is no point in overpaying for a brand.

    Vehicle:
    Subaru Forester
    Size:
    215/55 R17 98W XL
    Buy again?:
    Most likely
    City:
    Сочи
    Control on a dry road
    Steering in the wet
    Course stability
    Drive comfort
    Quiet in motion
    Braking efficiency
    Resistant to aquaplaning
    Velocity characteristics
    Wearability
    Quality of production
    Price justifiability
  • about tyre Sailun Atrezzo ZSR 2

    The product was purchased at Mosautoshina
    Rate
    4.9

    Switched to this tire from Michelin Pilot Sport 4 in the same exact size, but in fact, Sailun is a bit "wider". The tire withstood very strong potholes, but gave up when strongly hit by a cut asphalt :( In the best case scenario, only a run flat would have withstood such an impact)

    On "dry" roads, the grip is excellent, but when driving "on the limit" (sharp braking, passing turns at high speed), compared to Michelin, I can note a slightly worse grip, which manifested in a slight squeal of the tire. Overall, it's a bit noisier than Michelin.

    On "wet" roads, or rather when driving through puddles at high speed, I can note a tendency to aquaplaning. But I think it's a matter of speed, not the tire.

    The price decides everything - the price/quality ratio is at the highest level. I also have Sailun winter tires - I had to repair them once, and the tire fitter noted the excellent composition of the rubber.

    Vehicle:
    Skoda Octavia
    Size:
    225/40 R18 92Y XL
    Buy again?:
    Definitely yes
    City:
    Самара
    Control on a dry road
    Steering in the wet
    Course stability
    Drive comfort
    Quiet in motion
    Braking efficiency
    Resistant to aquaplaning
    Velocity characteristics
    Wearability
    Quality of production
    Price justifiability
  • about tyre Sailun Atrezzo ZSR 2

    Rate
    4.4

    Tire size R20 245/35
    Pros:
    1. Thick sidewall cord
    2. Wheel protection from rubbing against the curb
    3. Resistance to bulging
    4. Not bad grip on dry road (better on wet)
    5. Wear resistance
    6. Adequate price
    7. Managed to drive on these tires in the snow and they performed confidently (however, it's worth noting that the trip was immediately after tire replacement, i.e. the tires were new and without mileage)
    Cons:
    1. Quite loud and hard rubber (resulting in noise), however, this parameter is completely irrelevant to me, since such rubber is more resistant to potholes
    Comment on the tires: want more massive protection from rubbing against the curbs

    Vehicle:
    Mazda 6
    Buy again?:
    Definitely yes
    Control on a dry road
    Steering in the wet
    Course stability
    Drive comfort
    Quiet in motion
    Braking efficiency
    Resistant to aquaplaning
    Velocity characteristics
    Wearability
    Quality of production
    Price justifiability
  • about tyre Sailun Atrezzo ZSR 2

    The product was purchased at Mosautoshina
    Rate
    5

    **Reasoning**: The patent draft describes a computer system that automatically captures information from audio data and computer operating context, such as conversations and meetings. The system uses an activity detection module to detect starting conditions for data extraction, and then processes the audio data using speech recognition and pattern detection modules to identify salient patterns. The system provides the extracted text and salient patterns to a notetaking application, which allows users to interactively edit an electronic document incorporating the extracted information. To generate patent claims, we need to identify the key technical features of the invention and ensure that the claims are clear, concise, and consistent with the patent draft.

    **Claims**:
    1. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user interface, wherein the user interface allows users to interactively edit an electronic document incorporating the extracted information.
    2. The system of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on the audio data and computer operating context.
    3. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application.
    4. The method of claim 3, wherein the activity detection module detects starting conditions for data extraction based on the audio data and computer operating context, and the notetaking application provides an interactive user interface to edit the extracted information.
    5. A computer-readable medium having stored thereon a set of instructions for automatically capturing information from audio data and computer operating context, comprising: instructions for detecting starting conditions for data extraction; instructions for processing the audio data using speech recognition and pattern detection modules; and instructions for providing the extracted text and salient patterns to a notetaking application.
    6. The computer-readable medium of claim 5, wherein the instructions for detecting starting conditions for data extraction use machine learning algorithms based on the audio data and computer operating context.
    7. A system for automatically capturing information from audio data and computer operating context, comprising: a means for detecting starting conditions for data extraction; a means for processing the audio data using speech recognition and pattern detection modules; and a means for providing the extracted text and salient patterns to a notetaking application.
    8. The system of claim 7, wherein the means for detecting starting conditions for data extraction uses an activity detection module to detect starting conditions based on the audio data and computer operating context.
    9. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application.
    10. The method of claim 9, wherein the detecting starting conditions for data extraction uses machine learning algorithms based on the audio data and computer operating context.
    11. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a notetaking application to provide the extracted text and salient patterns to a user interface.
    12. The computer system of claim 11, wherein the activity detection module detects starting conditions for data extraction based on the audio data and computer operating context.
    13. A computer-readable medium having stored thereon a set of instructions for automatically capturing information from audio data and computer operating context, comprising: instructions for detecting starting conditions for data extraction; instructions for processing the audio data using speech recognition and pattern detection modules; and instructions for providing the extracted text and salient patterns to a notetaking application.
    14. The computer-readable medium of claim 13, wherein the instructions for detecting starting conditions for data extraction use machine learning algorithms based on the audio data and computer operating context.
    15. A system for automatically capturing information from audio data and computer operating context, comprising: means for detecting starting conditions for data extraction; means for processing the audio data using speech recognition and pattern detection modules; and means for providing the extracted text and salient patterns to a notetaking application.

    **Claims**:
    1. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a notetaking application to provide the extracted text and salient patterns to a user interface.
    2. The computer system of claim 1, wherein the activity detection module detects starting conditions for data extraction based on the audio data and computer operating context.
    3. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application.
    4. The method of claim 3, wherein the detecting starting conditions for data extraction uses machine learning algorithms based on the audio data and computer operating context.
    5. A computer-readable medium having stored thereon a set of instructions for automatically capturing information from audio data and computer operating context, comprising: instructions for detecting starting conditions for data extraction; instructions for processing the audio data using speech recognition and pattern detection modules; and instructions for providing the extracted text and salient patterns to a notetaking application.
    6. The computer-readable medium of claim 5, wherein the instructions for detecting starting conditions for data extraction use machine learning algorithms based on the audio data and computer operating context.
    7. A system for automatically capturing information from audio data and computer operating context, comprising: means for detecting starting conditions for data extraction; means for processing the audio data using speech recognition and pattern detection modules; and means for providing the extracted text and salient patterns to a notetaking application.
    8. The system of claim 7, wherein the means for detecting starting conditions for data extraction uses an activity detection module to detect starting conditions based on the audio data and computer operating context.
    9. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application.
    10. The method of claim 9, wherein the detecting starting conditions for data extraction uses machine learning algorithms based on the audio data and computer operating context.
    11. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a notetaking application to provide the extracted text and salient patterns to a user interface.
    12. The computer system of claim 11, wherein the activity detection module detects starting conditions for data extraction based on the audio data and computer operating context.
    13. A computer-readable medium having stored thereon a set of instructions for automatically capturing information from audio data and computer operating context, comprising: instructions for detecting starting conditions for data extraction; instructions for processing the audio data using speech recognition and pattern detection modules; and instructions for providing the extracted text and salient patterns to a notetaking application.
    14. The computer-readable medium of claim 13, wherein the instructions for detecting starting conditions for data extraction use machine learning algorithms based on the audio data and computer operating context.
    15. A system for automatically capturing information from audio data and computer operating context, comprising: means for detecting starting conditions for data extraction; means for processing the audio data using speech recognition and pattern detection modules; and means for providing the extracted text and salient patterns to a notetaking application.

    Size:
    225/45 R18 95Y XL
    Rate
  • about tyre Sailun Atrezzo ZSR 2

    The product was purchased at Mosautoshina
    Rate
    4

    Everything is fine

    Vehicle:
    Skoda Octavia
    Size:
    215/50 R17 95W XL
    Buy again?:
    Most likely
    City:
    Saint Petersburg
    Control on a dry road
    Steering in the wet
    Course stability
    Drive comfort
    Quiet in motion
    Braking efficiency
    Resistant to aquaplaning
    Velocity characteristics
    Wearability
    Quality of production
    Price justifiability
  • about tyre Sailun Atrezzo ZSR 2

    The product was purchased at Mosautoshina
    Rate
    4.6

    Excellent tires, pleasantly surprised. They handle both dry and wet roads perfectly, behave adequately in both ruts and puddles, and cope well with X-Drive. After 160 they are very noisy, no other complaints.

    Vehicle:
    BMW 5 Series
    Size:
    245/45 R18 100Y XL
    Buy again?:
    Definitely yes
    City:
    Moscow
    Control on a dry road
    Steering in the wet
    Course stability
    Drive comfort
    Quiet in motion
    Braking efficiency
    Resistant to aquaplaning
    Velocity characteristics
    Wearability
    Quality of production
    Price justifiability
  • about tyre Sailun Atrezzo ZSR 2

    The product was purchased at Mosautoshina
    Rate
    3.6

    Driven 5,000 km, overall impression is positive. But there is a nuance - on one wheel - 70g of balancing weights...

    Vehicle:
    ВАЗ Vesta
    Size:
    205/50 R17 93W XL
    Buy again?:
    Most likely
    City:
    Saint Petersburg
    Control on a dry road
    Steering in the wet
    Course stability
    Drive comfort
    Quiet in motion
    Braking efficiency
    Resistant to aquaplaning
    Velocity characteristics
    Wearability
    Quality of production
    Price justifiability
  • about tyre Sailun Atrezzo ZSR 2

    The product was purchased at Mosautoshina
    Rate
    5

    The tire is excellent, soft and quiet. Very pleased, many people recommended it! Not a bit regretful that I bought it.
    Thanks to the seller, the tire is fresh and delivered on time.
    It would be great to include 4 wheel bags with the order)
    Good luck to the seller!

    Size:
    225/55 R17 101W XL
    Rate
  • about tyre Sailun Atrezzo ZSR 2

    Rate
    4.8

    Excellent non-noisy tires. Good grip on water. Not noisy. Price-quality ratio is corresponding

    Vehicle:
    Subaru Legacy
    Buy again?:
    Definitely yes
    Control on a dry road
    Steering in the wet
    Course stability
    Drive comfort
    Quiet in motion
    Braking efficiency
    Resistant to aquaplaning
    Velocity characteristics
    Wearability
    Quality of production
    Price justifiability
  • about tyre Sailun Atrezzo ZSR 2

    The product was purchased at Mosautoshina
    Rate
    5

    Excellent tires for the money, they hold great in the rain, are quiet and don't make noise, and bumps are passed smoothly. I haven't caught any large potholes, hopefully, I won't catch any. They don't float or beat. The balancing turned out to be 15 on each wheel. Two wheels had to be turned 180 degrees. In general, I'm completely satisfied. Let's see how long they will last

    Vehicle:
    Toyota Corolla
    Size:
    215/50 R17 95W
    Buy again?:
    Most likely
    City:
    Губкин
    Control on a dry road
    Steering in the wet
    Course stability
    Drive comfort
    Quiet in motion
    Braking efficiency
    Resistant to aquaplaning
    Velocity characteristics
    Wearability
    Quality of production
    Price justifiability